Skocz do pozycji: 1.

Tytuł:

Sterowanie predykcyjne reaktorem egzotermicznym z wykorzystaniem linearyzacji
Constrained predictive control of continuous stirred exothermical reactor using linearization

Autorzy:

Ziętek, Beata
Ziętkiewicz, Joanna

Wydawca:

Wydawnictwo Poznańskiego Towarzystwa Przyjaciół Nauk

Cytata wydawnicza:

B. Ziętek, J. Ziętkiewicz: Constrained predictive control of continuous stirred exothermical reactor using linearization. Studia z Automatyki i Informatyki, Vol. 41, 2016, pp. 55-65.

Opis:

W artykule podejmowany jest problem sterowania predykcyjnego z modelem otrzymanym w procesie linearyzacji w punkcie. Obiektem regulacji jest reaktor chemiczny z wieloma punktami równowagi. Analiza algorytmu pokazuje jak punkt równowagi użyty do linearyzacji oraz wartości sygnału zadanego, zmienianego skokowo, wpływają na jakość algorytmu sterowania.
This paper considers constrained predictive control with linearized model. The object of control is a chemical reactor with many equilibrium points. The analysis show how the linearization steady-state point and the values in reference signal influence the performance of control algorithm.
Piotr Kozierski

Dostawca treści:

Repozytorium Centrum Otwartej Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 2.

Tytuł:

Robust model predictive control for autonomous Underwater Vehicle – Manipulator System with fuzzy compensator

Autorzy:

Esfahani, Hossein Nejatbakhsh

Tematy:

UVMS
model predictive control
fuzzy compensator

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Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Powiązania:

https://bibliotekanauki.pl/articles/260317.pdf  Link otwiera się w nowym oknie

Opis:

This paper proposes an improved Model Predictive Control (MPC) approach including a fuzzy compensator in order to track desired trajectories of autonomous Underwater Vehicle Manipulator Systems (UVMS). The tracking performance can be affected by robot dynamical model uncertainties and applied external disturbances. Nevertheless, the MPC as a known proficient nonlinear control approach should be improved by the uncertainty estimator and disturbance compensator particularly in high nonlinear circumstances such as underwater environment in which operation of the UVMS is extremely impressed by added nonlinear terms to its model. In this research, a new methodology is proposed to promote robustness virtue of MPC that is done by designing a fuzzy compensator based on the uncertainty and disturbance estimation in order to reduce or even omit undesired effects of these perturbations. The proposed control design is compared with conventional MPC control approach to confirm the superiority of the proposed approach in terms of robustness against uncertainties, guaranteed stability and precision.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 3.

Tytuł:

Predykcyjne sterowanie ciśnieniem sieci wodociągowej w celu optymalizacji parametrów jej pracy
Predictive pressure control of a water distribution network

Autorzy:

Wiglenda, R.
Moczulski, W.

Tematy:

sterowanie predykcyjne
Model Predictive Control
MPC
sterowanie ciśnieniem w sieci wodociągowej
predictive control
model predictive control
pressure control of a water distribution network

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Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Powiązania:

https://bibliotekanauki.pl/articles/152757.pdf  Link otwiera się w nowym oknie

Opis:

W artykule zaprezentowano wyniki badań dotyczących sterowania predykcyjnego ciśnieniem w sieci wodociągowej o wielu zasilaniach. Przedmiotem sterowania była optymalizacja parametrów pracy sieci, mająca na celu obniżenie ciśnienia w porze nocnej, w miejscach sieci, gdzie ze względu na ich położenie ponad poziomem morza występuje maksymalne ciśnienie, przy jednoczesnym zapewnieniu minimalnego wymaganego ciśnienia w pozostałych punktach sieci. Rezultat ten uzyskano przez manipulowanie ciśnieniami na zasilaniach, które daje pożądany przebieg linii ciśnień dla danej strefy. W budowie regulatora zastosowano algorytm Generalized Predictive Control (GPC), w którym model obiektu sterowanego zidentyfikowano w oparciu o dane otrzymane w wyniku eksperymentu numerycznego. Sprawdzenie poprawności rozwiązania przeprowadzono w środowisku Matlab® korzystając z przybornika Model Predictive Control™. Weryfikację działania metody oparto o dane i strukturę obiektu zidentyfikowane w ramach projektu prowadzonego we współpracy z PWiK Rybnik Sp. z. o. o. Otrzymane wyniki potwierdzają poprawność działania metody dla tak postawionego problemu eksploatacji sieci wodociągowych.
The paper presents results of research on predictive control of a water distribution network with multiple supplies. The object of study was optimization of work parameters of a water distribution network in order to decrease the level of pressure at night for the places with the highest pressure values. This was achieved by manipulating the supply pressures to obtain the desired level of the pressure lines for a given area. The considered water distribution networks are shown in Figs. 1 and 2, whereas description of the network characteristic points is given in Tab. 1. The detailed discussion of selected water networks is contained in [1, 2, 3]. The authors made a deep literature review [4] and, as a result, selected the Generalized Predictive Control algorithm (see Fig. 4) as a framework for the predictive control. The schema of the predictive control for an exemplary water distribution network is shown in Fig. 5. The con-trolled plant was identified from a numerical experiment made on a network simulation model. An exemplary result of model identification is shown in Fig. 3. The solution was verified in the Matlab® environment with use of the Model Predictive Control™ toolbox. The results shown in Figs. 6-10 confirm that the method is a proper solution to this water distribution network maintenance problem. Implementation of the predictive control in a real water distribution network needs some costs to be incurred. However, it is expected that the costs will be returned soon, thanks to significant decrease in the number of malfunctions in the network caused by excessive hydraulic loads of the water network elements. In addition, it is possible to use the predictive control as a solution to the problem of undetected leakages whose level may be reduced with this method of control.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 4.

Tytuł:

Effectiveness of Dynamic Matrix Control algorithm with Laguerre functions

Autorzy:

Tatjewski, Piotr

Tematy:

process control
model predictive control
DMC algorithm
Laguerre functions

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/2083461.pdf  Link otwiera się w nowym oknie

Opis:

The paper is concerned with the presentation and analysis of the Dynamic Matrix Control (DMC) model predictive control algorithm with the representation of the process input trajectories by parametrised sums of Laguerre functions. First the formulation of the DMCL (DMC with Laguerre functions) algorithm is presented. The algorithm differs from the standard DMC one in the formulation of the decision variables of the optimization problem - coefficients of approximations by the Laguerre functions instead of control input values are these variables. Then the DMCL algorithm is applied to two multivariable benchmark problems to investigate properties of the algorithm and to provide a concise comparison with the standard DMC one. The problems with difficult dynamics are selected, which usually leads to longer prediction and control horizons. Benefits from using Laguerre functions were shown, especially evident for smaller sampling intervals.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 5.

Tytuł:

Long-horizon model predictive control of induction motor drive

Autorzy:

Wróbel, Karol Tomasz
Szabat, Krzysztof
Serkies, Piotr

Tematy:

model predictive control
long horizon
induction motor drive

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/140624.pdf  Link otwiera się w nowym oknie

Opis:

This paper investigates the application of a novel Model Predictive Control struc- ture for the drive system with an induction motor. The proposed controller has a cascade-free structure that consists of a vector of electromagnetics (torque, flux) and mechanical (speed) states of the system. The long-horizon version of the MPC is investigated in the paper. In order to reduce the computational complexity of the algorithm, an explicit version is applied. The influence of different factors (length of the control and predictive horizon, values of weights) on the performance of the drive system is investigated. The effectiveness of the proposed approach is validated by some experimental tests.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 6.

Tytuł:

Internet digital content pricing and subscribers control

Autorzy:

Mejjouali, Sobhi
Tadj, Lotfi

Tematy:

maximum principle
model predictive control
optimal control
web content pricing

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Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Powiązania:

https://bibliotekanauki.pl/articles/27315325.pdf  Link otwiera się w nowym oknie

Opis:

We use optimal control theory to determine the optimal rate of change in the subscription fee and the optimal ratio of ad space to the total web page space for a web content provider. An optimal solution is obtained using the maximum principle approach and the model predictive control approach. Numerical experiments show that it is preferable to use the first approach when the planning horizon is short and the second approach when the planning horizon is long.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 7.

Tytuł:

A computationally efficient stable dual-mode type nonlinear predictive control algorithm

Autorzy:

Ławryńczuk, M.
Tadej, W.

Tematy:

linearyzacja
optymalizacja
stabilność
nonlinear model predictive control
dual-mode model predictive control
process control
linearisation
optimisation
quadratic programming
stability
constraints
terminal set

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Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Powiązania:

https://bibliotekanauki.pl/articles/971003.pdf  Link otwiera się w nowym oknie

Opis:

This paper describes a computationally efficient (sub-optimal) nonlinear predictive control algorithm. The algorithm uses a modified dual-mode approach which guarantees closed-loop stability. In order to reduce the computational burden, instead of online nonlinear optimisation used in the classical dual-mode control scheme, a nonlinear model of the plant is linearised on-line and a quadratic programming problem is solved. Calculation of the terminal set and implementation steps of the algorithm are detailed, especially for input-output models, which are widely used in practice.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 8.

Tytuł:

Zastosowanie regulatora typu MPC do sterowania procesem suszenia konwekcyjnego
Using of the MPC type controller for convection rying process control

Autorzy:

Tomkiewicz, D.

Tematy:

wilgotność
ziarno
sterowanie adaptacyjne
suszenie
identyfikacja
regulator MPC
Model Predictive Control
grain
adaptive control
drying
identification
humidity
MPC controller
model predictive control

Pokaż więcej

Wydawca:

Polskie Towarzystwo Inżynierii Rolniczej

Powiązania:

https://bibliotekanauki.pl/articles/290820.pdf  Link otwiera się w nowym oknie

Opis:

W artykule zostały zaprezentowane badania związane z zastosowaniem regulatora MPC (Model Predictive Control) do sterowania procesem suszenia konwekcyjnego. Związek pomiędzy natężeniem wypływu materiału suszonego a wilgotnością zboża i innymi mierzonymi parametrami jest określony za pomocą hybrydowego modelu składającego się z równania różniczkowego cząstkowego i sieci neuronowej. Sieć neuronowa zapewnia uwzględnienie nieliniowości związanych z dynamiką procesu suszenia. Wagi sieci estymowane są w czasie rzeczywistym przy użyciu algorytmu rozszerzonego filtru Kalmana. Pozwala to na samoczynne adaptowanie się modelu do zmieniających się warunków procesu oraz rodzaju suszonego materiału.
The article presents studies on the application of the MPC (Model Predictive Control) controller to operate convection drying process. The relationship between outflow rate of dried material and corn moisture content and other measured parameters is determined using a hybrid model consisting of partial differential equation and a neural network. The neural network ensures taking into consideration nonlinearities connected with drying process dynamics. Network weights are estimated in real time using extended algorithm of the Kalman filter. This allows the model to adapt automatically to changing process conditions and dried material type.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 9.

Tytuł:

Robust fuzzy model predictive control of an overhead crane

Autorzy:

Smoczek, J.
Szpytko, J.

Tematy:

overhead crane
model predictive control
linear parameter varying model
fuzzy interpolation

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Wydawca:

Instytut Techniczny Wojsk Lotniczych

Powiązania:

https://bibliotekanauki.pl/articles/242944.pdf  Link otwiera się w nowym oknie

Opis:

The method of controlling an overhead crane with respect to the variation of operating conditions and control constraints is developed using a model predictive control (MPC) and fuzzy interpolation applied in linear parameter varying (LPV) approach to crane dynamic modelling. The proposed control approach is based on the assumption that operating conditions vary within the known range of scheduling variables, and the parameters of a crane dynamic model can be interpolated by a quasi-linear fuzzy model designed through utilizing the P1-TS fuzzy theory. Hence, a crane dynamic is approximated through interpolation between a set of local linear models determined through identification experiments at the local operating points selected within the bounded intervals of scheduling variables. For the modelling assumptions, the control algorithm is developed based on a generalized predictive control (GPC) procedure taking into consideration the constraints on sway angle of a payload and control signal. Feasibility and applicability of the proposed control technique were confirmed during experiments carried out on a laboratory-scaled overhead crane. The results of experiments are presented and compared with performances of a fuzzy logic-based scheduling control scheme.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 10.

Tytuł:

Evacuation by leader-follower model with bounded confidence and predictive mechanisms

Autorzy:

Almeida, Ricardo
Girejko, Ewa
Machado, Luis
Malinowska, Agnieszka B.
Martins, Natália

Tematy:

multi-agent systems
emergency
model predictive control
bounded confidence

Pokaż więcej

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/1845516.pdf  Link otwiera się w nowym oknie

Opis:

This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 11.

Tytuł:

Evacuation by leader-follower model with bounded confidence and predictive mechanisms

Autorzy:

Almeida, Ricardo
Girejko, Ewa
Machado, Luis
Malinowska, Agnieszka B.
Martins, Natália

Tematy:

multi-agent systems
emergency
model predictive control
bounded confidence

Pokaż więcej

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/1845527.pdf  Link otwiera się w nowym oknie

Opis:

This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 12.

Tytuł:

Supervisory optimal control using machine learning for building thermal comfort

Autorzy:

Abdufattokhov, Shokhjakhon
Mahamatov, Nurilla
Ibragimova, Kamila
Gulyamova, Dilfuza
Yuldashev, Dilyorjon

Tematy:

building thermal comfort
Gaussian processes
machine learning
model predictive control

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Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Powiązania:

https://bibliotekanauki.pl/articles/2204083.pdf  Link otwiera się w nowym oknie

Opis:

For the past few decades, control and building engineering communities have been focusing on thermal comfort as a key factor in designing sustainable building evaluation methods and tools. However, estimating the indoor air temperature of buildings is a complicated task due to the nonlinear and complex building dynamics characterised by the time-varying environment with disturbances. The primary focus of this paper is designing a predictive and probabilistic room temperature model of buildings using Gaussian processes (GPs) and incorporating it into model predictive control (MPC) to minimise energy consumption and provide thermal comfort satisfaction. The full probabilistic capabilities of GPs are exploited from two perspectives: the mean prediction is used for the room temperature model, while the uncertainty is involved in the MPC objective not to lose the desired performance and design a robust controller. We illustrated the potential of the proposed method in a numerical example with simulation results.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 13.

Tytuł:

An optimal hybrid quadcopter control technique with MPC-based backstepping

Autorzy:

Nwafor, Solomon C.
Eneh, Joy N.
Ndefo, Mmasom I.
Ugbe, Oluchi C.
Ugwu, Henry I.
Ani, Ozoemena

Tematy:

UAV
quadcopter
Model Predictive Control
backstepping control
linear parameter varying
genetic algorithm

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Wydawca:

Polska Akademia Nauk. Czasopisma i Monografie PAN

Powiązania:

https://bibliotekanauki.pl/articles/59111199.pdf  Link otwiera się w nowym oknie

Opis:

Quadcopter unmanned aerial vehicle is a multivariable, coupled, unstable, and underactuated system with inherent nonlinearity. It is gaining popularity in various applications and has been the subject of numerous research studies. However, modelling and controlling a quadcopter to follow a trajectory is a challenging issue for which there is no unique solution. This study proposes an optimal hybrid quadcopter control with MPC-based backstepping control for following a reference trajectory. The outer-loop controller (backstepping controller) regulates the quadcopter’s position, whereas the inner-loop controller (Model Predictive Control) regulates its attitude. The translational and rotational dynamics of the quadcopter are analyzed utilizing the Newton-Euler method. After that, the backstepping controller (BC) is created, which is a recurrent control method according to Lyapunov’s theory that utilizes a genetic algorithm (GA) to choose the controller parameters automatically. In order to apply a linear control technique in the presence of nonlinearities in the quadcopter dynamics, Linear Parameter Varying (LPV) Model Predictive Control (MPC) structure is developed. Simulation validated the dynamic performance of the proposed optimal hybrid MPC-based backstepping controller of the quadcopter in following a given reference trajectory. The simulations demonstrate the fact that using a command control input in trajectory tracking, the proposed control algorithm offers suitable tracking over the assigned position references with maximum appropriate tracking errors of 0.1 m for the X and Y positions and 0.15 m for the Z position.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 14.

Tytuł:

Multivariable predictive control considering time delay for load-frequency control in multi-area power systems

Autorzy:

Daniar, S.
Shiroei, M.
Aazami, R.

Tematy:

load frequency control
model predictive control
time delay
generation rate constraint

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/229223.pdf  Link otwiera się w nowym oknie

Opis:

In this paper, a multivariable model based predictive control (MPC) is proposed for the solution of load frequency control (LFC) in a multi-area interconnected power system. The proposed controller is designed to consider time delay, generation rate constraint and multivariable nature of the LFC system, simultaneously. A new formulation of the MPC is presented to compensate time delay. The generation rate constraint is considered by employing a constrained MPC and economic allocation of the generation is further guaranteed by an innovative modification in the predictive control objective function. The effectiveness of proposed scheme is verified through time-based simulations on the standard 39-bus test system and the responses are then compared with the proportional-integral controller. The evaluation of the results reveals that the proposed control scheme offers satisfactory performance with fast responses.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 15.

Tytuł:

Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors

Autorzy:

Nebeluk, Robert
Marusak, Piotr

Tematy:

model predictive control
nonlinear systems
nonlinear models
nonlinear control
simulation
optimization

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/230077.pdf  Link otwiera się w nowym oknie

Opis:

Model predictive control (MPC) algorithms brought increase of the control system performance in many applications thanks to relatively easily solving issues that are hard to solve without these algorithms. The paper is focused on investigating how to further improve the control system performance using a trajectory of parameters weighting predicted control errors in the performance function of the optimization problem. Different shapes of trajectories are proposed and their influence on control systems is tested. Additionally, experiments checking the influence of disturbances and of modeling uncertainty on control system performance are conducted. The case studies were done in control systems of three control plants: a linear non-minimumphase plant, a nonlinear polymerization reactor and a nonlinear thin film evaporator. Three types of MPC algorithms were used during research: linear DMC, nonlinear DMC with successive linearization (NDMC–SL), nonlinear DMC with nonlinear prediction and linearization (NDMC–NPL). Results of conducted experiments are presented in greater detail for the control system of the polymerization reactor, whereas for the other two control systems only the most interesting results are presented, for the sake of brevity. The experiments in the control system of the linear plant were done as preliminary experiments with the modified optimization problem. In the case of control system of the thin film evaporator the researched mechanisms were used in the control system of a MIMO plant showing possibilities of improving the control system performance.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 16.

Tytuł:

Effects of grid disturbances on current source rectifier controlled by FCS-MPC algorithm

Autorzy:

Godlewska, A.

Tematy:

active front end
current source rectifier
model predictive control
active damping

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Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Powiązania:

https://bibliotekanauki.pl/articles/1193668.pdf  Link otwiera się w nowym oknie

Opis:

Nowadays, the increasing number of non-linear loads influences the grid, causing grid voltage disturbances. These disturbances may be very dangerous for the equipment and can create faults in converter behaviour. However, the right control algorithm can improve the reliability of the work. For a current source rectifier, the finite control set model predictive control has been proposed. This method is very flexible because of the variety of the possible cost function forms. It has been examined under grid voltage disturbed by the higher harmonics and the voltage drop. Simulation results prove the ability to damp the distortions and to ensure the unity power factor. Summing up, the algorithm is a very good solution for use in applications such as battery charging, active power filtering and low-voltage direct current load feeding.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 17.

Tytuł:

Application-oriented experiment design for model predictive control

Autorzy:

Jakowluk, W.
Świercz, M.

Tematy:

model predictive control
optimal input design
convex optimization
application-oriented identification

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/201147.pdf  Link otwiera się w nowym oknie

Opis:

The model predictive control (MPC) technique has been widely applied in a large number of industrial plants. Optimal input design should guarantee acceptable model parameter estimates while still providing for low experimental effort. The goal of this work is to investigate an application-oriented identification experiment that satisfies the performance objectives of the implementation of the model. A- and D-optimal input signal design methods for a non-linear liquid two-tank model are presented in this paper. The excitation signal is obtained using a finite impulse response filter (FIR) with respect to the accepted application degradation and the power constraint. The MPC controller is then used to control the liquid levels of the double tank system subject to the reference trajectory. The MPC scheme is built based on the linearized and discretized model of the system to predict the system’s succeeding outputs with reference to the future input signal. The novelty of this model-based method consists in including the experiment cost in input design through the objective function. The proposed framework is illustrated by means of numerical examples, and simulation results are discussed.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 18.

Tytuł:

Model predictive control of four-leg three-level flying capacitor converter: influence of model parameter mismatch

Autorzy:

Antoniewicz, K.
Rafał, K.
Jasiński, M.

Tematy:

multilevel converter
current control
model predictive control
MPC
shunt active power filter
SAPF

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Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Powiązania:

https://bibliotekanauki.pl/articles/1193479.pdf  Link otwiera się w nowym oknie

Opis:

This paper presents a control method for a four-leg three-level flying capacitor converter (FCC) operating as a shunt active power filter (SAPF), based on model predictive control with finite number of control states (FS-MPC). Current control and capacitor voltage balancing are described. Influence of the mismatch of the inductive filter model parameters on the current control precision is analysed. Results are supported by the experimental waveforms obtained with a 10kVA set-up.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 19.

Tytuł:

Effective nonlinear predictive and CTC-PID control of rigid manipulators

Autorzy:

Tatjewski, Piotr

Tematy:

manipulator control
nonlinear control
model predictive control
CTC-PID control
fast sampling
delay

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Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Powiązania:

https://bibliotekanauki.pl/articles/59115461.pdf  Link otwiera się w nowym oknie

Opis:

Effective nonlinear control of manipulators with dynamically coupled arms, like those with direct drives, is the subject of the paper. Model-based predictive control (MPC) algorithms with nonlinear state-space models and most recent disturbance attenuation technique are proposed. This technique makes controller design and online calculations simpler, avoiding necessity of dynamic modeling of disturbances or resorting to additional techniques like SMC. The core of the paper are computationally effective MPC-NPL (Nonlinear Prediction and Linearization) algorithms, where computations at every sample are divided into two parts: prediction of initial trajectories using nonlinear model, then optimization using simplified linearized model. For a comparison, a known CTC-PID algorithm, which is also model-based, is considered. It is applied in standard form and also proposed in more advanced CTC-PID2dof version. For all algorithms a comprehensive comparative simulation study is performed, for a direct drive manipulator under disturbances. Additional contribution of the paper is investigation of influence of sampling period and of computational delay time on performance of the algorithms, which is practically important when using model-based algorithms with fast sampling.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 20.

Tytuł:

Prediction control systems in marine applications

Autorzy:

Gierusz, W.
Miller, A.

Tematy:

control system
marine applications
ship motion
automatic system
Model Predictive Control (MPC)
multiple input
Multiple Output (MIMO)
Model Predictive Heuristic Control (MPHC)
Generalized Predictive Control (GPC)

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Wydawca:

Uniwersytet Morski w Gdyni. Wydział Nawigacyjny

Powiązania:

https://bibliotekanauki.pl/articles/117282.pdf  Link otwiera się w nowym oknie

Opis:

The paper presents one of the modern control methods used for steering of the ship motion. The different automatic systems used to navigate the vessels are described at the beginning. Next, prediction control methodology is presented and multidimensional MPC regulator applied to steering of the training ship is shown as a technical product. Tests results from the real-time experiments with the mentioned controller are presented at the end of the article.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 21.

Tytuł:

Research on low frequency ripple suppression technology of inverter based on model prediction

Autorzy:

Liu, Haiyang
Chen, Yiwen
Luo, Sixu
Jiang, Jiahui
Jian, Haojun

Tematy:

boost type
low frequency ripple suppression
model predictive control
single stage inverter

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Wydawca:

Polska Akademia Nauk. Czasopisma i Monografie PAN

Powiązania:

https://bibliotekanauki.pl/articles/24202730.pdf  Link otwiera się w nowym oknie

Opis:

The low frequency ripple of the input side current of the single-phase inverter will reduce the efficiency of the power generation system and affect the overall performance of the system. Aiming at this problem, this paper proposes a two-modal modulation method and its MPC multi-loop composite control strategy on the circuit topology of a single-stage boost inverter with a buffer unit. The control strategy achieves the balance of active power on both sides of AC and DC by controlling the stable average value of the buffer capacitor voltage, and provides a current reference for inductance current of the DC input side. At the same time, the MPC controller uses the minimum inductor current error as the cost function to control inductor current to track its reference to achieve low frequency ripple suppression of the input current. In principle, it is expounded that the inverter using the proposed control strategy has better low frequency ripple suppression effect than the multi-loop PI control strategy, and the conclusion is proved by the simulation data. Finally, an experimental device of a single-stage boost inverter using MPC multi-loop composite control strategy is designed and fabricated, and the experimental results show that the proposed research scheme has good low frequency ripple suppression effect and strong adaptability to different types of loads.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 22.

Tytuł:

Model predictive current control method for four-leg three-level converter operating as shunt active power filter and grid connected inverter

Autorzy:

Antoniewicz, K.
Rafal, K.

Tematy:

multilevel converter
model predictive control
MPC
power quality
konwerter
jakość energii

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/200265.pdf  Link otwiera się w nowym oknie

Opis:

This paper presents model predictive control (MPC) with a finite control states set (FS) for three-level four-leg flying capacitor (FCC) converter. Principles of control method are presented and flying capacitor voltages control method is discussed. Experimental results of converter operating as a shunt active power filter (SAPF) and grid connected inverter (GCI) are shown.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 23.

Tytuł:

Model Predictive Super-twisting sliding mode control for an autonomous surface vehicle

Autorzy:

Esfahani, Hossein Nejatbakhsh
Szlapczynski, Rafal

Tematy:

utonomous Surface Vehicle
Model Predictive Control
Sliding Mode Control
Super-Twisting Algorithm
Chattering Attenuation

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Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Powiązania:

https://bibliotekanauki.pl/articles/260526.pdf  Link otwiera się w nowym oknie

Opis:

This paper presents a new robust Model Predictive Control (MPC) algorithm for trajectory tracking of an Autonomous Surface Vehicle (ASV) in presence of the time-varying external disturbances including winds, waves and ocean currents as well as dynamical uncertainties. For fulfilling the robustness property, a sliding mode control-based procedure for designing of MPC and a super-twisting term are adopted. The MPC algorithm has been known as an effective approach for the implementation simplicity and its fast dynamic response. The proposed hybrid controller has been implemented in MATLAB / Simulink environment. The results for the combined Model Predictive Super-Twisting Sliding Mode Control (MP-STSMC) algorithm have shown that it significantly outperforms conventional MPC algorithm in terms of the transient response, robustness and steady state response and presents an effective chattering attenuation in comparison with the Super-Twisting Sliding Mode Control (STSMC) algorithm.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 24.

Tytuł:

Simple Technique of Initial Speed Identification for Speed-Sensorless Predictive Controlled Induction Motor Drive

Autorzy:

Stando, Dariusz
Kazmierkowski, Marian P.

Tematy:

induction motor
sensorless control
model predictive control
MRAS estimator
initial speed identification
restarting IM

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Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Powiązania:

https://bibliotekanauki.pl/articles/1193851.pdf  Link otwiera się w nowym oknie

Opis:

This article presents a simple technique of identifying the initial speed that allows for restarting a sensorless induction motor (IM) drive controlled by a model predictive flux control (MPFC). Initial speed identification is required because, according to the research, the applied current-model reference adaptive system (C-MRAS) can restart the IM after failure only if the error of the initial speed set in the estimator is < 25%. The proposed technique is based on short periods of flux generation for the certain initial speed and observation of the estimated torque respond. The direction of the estimated torque determines whether the real speed is higher or lower than the initial one set in the estimator. In two steps, the algorithm identifies the initial speed with an accuracy of 25%. This allows for a quick restart of the IM from any speed, eliminating the disadvantage of the sensorless drive control system with the C-MRAS speed estimator. The experimental results measured on a 50 kW drive which illustrates the operation and performances of the system are presented.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 25.

Tytuł:

Elman neural network for modeling and predictive control of delayed dynamic systems

Autorzy:

Wysocki, A.
Ławryńczuk, M.

Tematy:

dynamic models
process control
model predictive control
neural networks
Elman neural network
delayed systems

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/229646.pdf  Link otwiera się w nowym oknie

Opis:

The objective of this paper is to present a modified structure and a training algorithm of the recurrent Elman neural network which makes it possible to explicitly take into account the time-delay of the process and a Model Predictive Control (MPC) algorithm for such a network. In MPC the predicted output trajectory is repeatedly linearized on-line along the future input trajectory, which leads to a quadratic optimization problem, nonlinear optimization is not necessary. A strongly nonlinear benchmark process (a simulated neutralization reactor) is considered to show advantages of the modified Elman neural network and the discussed MPC algorithm. The modified neural model is more precise and has a lower number of parameters in comparison with the classical Elman structure. The discussed MPC algorithm with on-line linearization gives similar trajectories as MPC with nonlinear optimization repeated at each sampling instant.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 26.

Tytuł:

Predictive-SVM control method dedicated to an AC/DC converter with an LCL grid filter

Autorzy:

Dmitruk, K.

Tematy:

three-phase voltage converter
model predictive control
space vector modulation
infinite control set

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/200760.pdf  Link otwiera się w nowym oknie

Opis:

This paper presents simulation and laboratory test results of an implementation of an infinite control set model predictive control into a three-phase AC/DC converter. The connection between the converter and electric grid is made through an LCL filter, which is characterized by a better reduction of grid current distortions and smaller (cheaper) components in comparison to an L-type filter. On the other hand, this type of filter can cause strong resonance at specific current harmonics, which is efficiently suppressed by the control strategy focusing on the strict control input filter capacitors voltage vector. The presented method links the benefits of using linear control methods based on a space vector modulator and the nonlinear ones, which result in excellent control performance in a steady state as well as in a transient state.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 27.

Tytuł:

Model based predictive control of beam with magnetorheological fluid
Sterowanie predykcyjne drganiami belki z cieczą magnetoreologiczną

Autorzy:

Snamina, J.

Tematy:

drgania belki
ciecze magnetoreologiczne
sterowanie predykcyjne
beam vibrations
magnetorheological fluid
model predictive control

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Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Powiązania:

https://bibliotekanauki.pl/articles/368941.pdf  Link otwiera się w nowym oknie

Opis:

In the work a model predictive control method was applied to control the beam vibrations. Model predictive control (MPC) is widely used as advanced control methodology. The considered beam consists of two outer layers made of aluminium and MR fluid layer in between. Activation of the MR fluid is realized by magnetic field. The analysis of strain and stress in three-layered beam were done. Then the equation of forced vibration of beam in the vicinity of the first resonances was derived. Based on this equation the simulation of MPC application was performed for the sinusoidal and random excitation.
W pracy zastosowano algorytm sterowania predykcyjnego przy wykorzystaniu modelu do redukcji drgań belki z cieczą magnetoreologiczną (MR). Rozważana belka składa się z dwóch zewnętrznych warstw wykonanych z aluminium oraz umieszczonej pomiędzy nimi warstwy cieczy MR. Zmiana własności cieczy MR następuje w wyniku wytworzenia przez elektromagnes pola magnetycznego obejmującego część belki. Przedstawiono analizę stanu odkształcenia i stanu naprężenia w poszczególnych warstwach belki. Wyprowadzono równania opisujące drgania w otoczeniu pierwszego rezonansu. Na podstawie zbudowanego modelu zaproponowano algorytm sterowania predykcyjnego, którego celem była redukcja drgań belki. Wykonano symulację drgań belki dla wymuszenia sinusoidalnego oraz stochastycznego.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 28.

Tytuł:

Online continuous-time adaptive predictive control of the technological glass conditioning process

Autorzy:

Drapała, Michał
Byrski, Witold

Tematy:

system identification
modulating functions method
model predictive control
continuous-time systems
glass forehearth

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/2175115.pdf  Link otwiera się w nowym oknie

Opis:

Glass production has a great industrial importance and is associated with many technological challenges. Control related problems concern especially the last part of the process, so called glass conditioning. Molten glass is gradually cooled down in a long ceramic channels called forehearths during glass conditioning. The glass temperature in each zone of the forehearth should be precisely adjusted according to the assumed profile. Due to cross-couplings and unmeasured disturbances, traditional control systems based on PID controllers, often do not ensure sufficient control quality. This problem is the main motivation for the research presented in the paper. A Model Predictive Control algorithm is proposed for the analysed process. It is assumed the dynamic model for each zone of the forehearth is identified on-line with the Modulating Functions Method. These continuous-time linear models are subsequently used for two purposes: for the predictive controller tuning, measurable disturbances compensation and for a static set point optimisation. Proposed approach was tested using Partial Differential Equation model to simulate two adjacent zones of the forehearth. The experimental results proved that it can be successfully applied for the aforementioned model.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 29.

Tytuł:

Model predictive control of multilevel cascaded converter with boosting capability – experimental results

Autorzy:

Wiatr, P.
Kryński, A.

Tematy:

cascaded H-bridge
CHB
model predictive control
MPC
multilevel converters
mostek H
konwerter

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/200458.pdf  Link otwiera się w nowym oknie

Opis:

The main goal of this paper is to present a five-level converter with the feature of output voltage boosting capability. Thanks to its modular construction and single DC source usage, 5LCHB converter becomes an important alternative for two-level converters operating with DC-DC converters that use bulky inductors. Furthermore, model predictive control (MPC) method is presented, which allows for boosting output voltage of presented converter while providing three-phase load current control and flying capacitor voltage stabilization. The last section describes a 5kVA laboratory model of five-level hybrid converter interfacing RL load and shows experimental results confirming theoretical analysis derived in previous sections.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 30.

Tytuł:

Real-time implementation of multiple model based predictive control strategy to air/fuel ratio of a gasoline engine

Autorzy:

Wojnar, S
Polóni, T
Šimončič, P
Rohal’-Ilkiv, B
Honek, M
Csambál, J

Tematy:

model predictive control
multiple models
air/fuel ratio
spark ignition engine
ARX models

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/229632.pdf  Link otwiera się w nowym oknie

Opis:

Growing safety, pollution and comfort requirements influence automotive industry ever more. The use of three-way catalysts in exhaust aftertreatment systems of combustion engines is essential in reducing engine emissions to levels demanded by environmental legislation. However, the key to the optimal catalytic conversion level is to keep the engine air/fuel ratio (AFR) at a desired level. Thus, for this purposes more and more sophisticated AFR control algorithms are intensively investigated and tested in the literature. The goal of this paper is to present for a case of a gasoline engine the model predictive AFR controller based on the multiple-model approach to the engine modeling. The idea is to identify the engine in particular working points and then to create a global engine's model using Sugeno fuzzy logic. Opposite to traditional control approaches which lose their quality beside steady state, it enables to work with satisfactory quality mainly in transient regimes. Presented results of the multiple-model predictive air/fuel ratio control are acquired from the first experimental real-time implementation on the VW Polo 1390 cm3 gasoline engine, at which the original electronic control unit (ECU) has been fully replaced by a dSpace prototyping system which execute the predictive controller. Required control performance has been proven and is presented in the paper.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 31.

Tytuł:

Extension of first order predictive functional controllers to handle higher order internal models

Autorzy:

Khadir, M. T.
Ringwood, J. V.

Tematy:

sterowanie predykcyjne
system fazowy
system oscylacyjny
model predictive control
predictive functional control
non-minimum-phase systems
oscillatory systems

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Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/907939.pdf  Link otwiera się w nowym oknie

Opis:

Predictive Functional Control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The input/output PFC formulation has been a particularly attractive paradigm for industrial processes, with a combination of simplicity and effectiveness. Though its use of a lag plus delay ARX/ARMAX model is justified in many applications, there exists a range of process types which may present difficulties, leading to chattering and/or instability. In this paper, instability of first order PFC is addressed, and solutions to handle higher order and difficult systems are proposed. The input/output PFC formulation is extended to cover the cases of internal models with zero and/or higher order pole dynamics in an ARX/ARMAX form, via a parallel and cascaded model decomposition. Finally, a generic form of PFC, based on elementary outputs, is proposed to handle a wider range of higher order oscillatory and non-minimum phase systems. The range of solutions presented are supported by appropriate examples.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 32.

Tytuł:

Input data selection for identification of the incremental ship’s model

Autorzy:

Miller, A.

Tematy:

model identification
mathematical linear model
model for Model Predictive Control (MPC)
selection procedure
data
parameters

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Wydawca:

Akademia Morska w Szczecinie. Wydawnictwo AMSz

Powiązania:

https://bibliotekanauki.pl/articles/135488.pdf  Link otwiera się w nowym oknie

Opis:

The procedure of Linear Incremental Model (LIM) identification requires input and output signal deviations as opposed to their actual values. When considering a vessel as a plant, the sequence of input signals determines the traceability of the estimated LIM. The manual input signals selection procedure is a demanding and time consuming empirical procedure. In order to increase the speed of object identification and to eliminate input-output signal sequences which give unreliable data, an incremental linear model identification algorithm was developed and is presented. Moreover, the method of parameter selection for input signal pseudo-random sequences is described in this paper. Emphasis is placed on the practical aspect of astatic objects – ship’s LIM creation and input-output signal deviations selection method.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 33.

Tytuł:

Robust output feedback Model Predictive Control design

Autorzy:

Vesely, V.
Rosinova, D.

Tematy:

model predictive control
robust control
parameter dependent quadratic stability
Lyapunov functional
polytopic system
decentralized control

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/229853.pdf  Link otwiera się w nowym oknie

Opis:

The paper addresses the problem of designing a robust output/state model predictive control for linear polytopic systems without constraints. The new robust BMI stability condition for given predictive and control horizon is derived which guarantees the parameter dependent quadratic stability and guaranteed cost.The proposed condition is appropriate for centralized and decentralized control design, as illustrated on example.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 34.

Tytuł:

Wielokryterialna optymalizacja zużycia energii na chłodzenie w budynkach wielkopowierzchniowych
Multiobjective optimization of cooling energy usage in large-floor-area buildings

Autorzy:

Gawin, D.
Woźniak, P.

Tematy:

algorytmy genetyczne
Demand-Side Management
Model Predictive Control
precooling
genetic algorithms
demand side management

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Wydawca:

Politechnika Rzeszowska im. Ignacego Łukasiewicza. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/104646.pdf  Link otwiera się w nowym oknie

Opis:

Poszukując optymalnego sposobu eksploatacji budynku, występują trudności w znalezieniu rozwiązania charakteryzującego się jak najmniejszym zużyciem energii, przy jednoczesnym zapewnieniu komfortu cieplnego ludziom w nim przebywającym, ponieważ kryteria te są sobie przeciwstawne. Sprowadza się to do rozwiązania problemu optymalizacji wielokryterialnej i wyznaczenia zbioru punktów optymalnych, stanowiących kombinację danych parametrów wejściowych do symulacji. Do takiej sytuacji dochodzi coraz częściej w okresie letnim, gdy temperatura operatywna w budynku na skutek działania wysokich wartości temperatur powietrza zewnętrznego i natężenia promieniowania słonecznego, przekracza dopuszczalne normy. Powszechnie stosowane instalacje chłodzenia w budynkach użyteczności publicznej powinny więc zostać poddane optymalizacji, zarówno na etapie projektowania, jak i eksploatacji, polegającej na doborze parametrów określających ich działanie. W niniejszym artykule pokazano zastosowanie algorytmów genetycznych do powyższego zagadnienia optymalizacji wielokryterialnej dla przypadku sklepu wielkopowierzchniowego, zakładając dostępność do prognozowanych danych pogodowych z wyprzedzeniem 24-godzinnym. Dodatkowo, harmonogramy pracy instalacji chłodzenia zostały dobrane w sposób uwzględniający zarządzanie stroną popytową w sposób minimalizujący pobieranie energii elektrycznej w okresie największego obciążenia sieci elektroenergetycznej. Z obliczeń otrzymano kombinacje parametrów wejściowych, pozwalających na zmniejszanie kosztów eksploatacyjnych przy zastosowaniu zmiennej taryfy energetycznej, jednocześnie zapewniając komfort termiczny przez cały okres pracy budynku i pobierając energię elektryczną w sposób bardziej równomierny w ciągu doby. Dowodzi to zasadności podjętych badań i możliwości zastosowania powyższej procedury w zarządzaniu rzeczywistych obiektów wielkopowierzchniowych przy użyciu skalibrowanych z nimi modeli komputerowych.
While searching for an optimal way of building exploitation, the difficulty in finding a solution characterized by the lowest energy consumption with simultaneously assuring thermal comfort of the people inside arises. The solution aiming at meeting the two contrary criteria results in application of multi-objective optimization through determining the set of optimal points being a combination of simulation entry parameters. Assuring thermal comfort of the people inside a building is especially inconvenient in summer, when the building’s operative temperature exceeds allowable standards due to influence of high exterior air temperature and solar radiation intensity. Hence, commonly utilized air - conditioning systems should undergo optimization at the stage of both design and during exploitation based on the proper operating parameters choice. This paper analyzes the usage of genetic algorithms in the multi-objective optimization of a large – floor – area store assuming the access to weather conditions forecasted in 24 – hour advance. Furthermore, the HVAC system work schemes were set in a way including the minimization of electrical energy consumption in the peak hours of the power system demand. The performed calculations made it possible to obtain the combination of entry parameters allowing mitigation of exploitation costs through variable electrical energy tariff as well as assuring thermal comfort within the whole building’s operation period while consuming the electrical energy in a more sustainable way. The results prove validity of the undertaken research and possibility of application of the aforementioned procedure in a control system of real large – floor – area buildings, taking advantage of their calibrated computational models.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 35.

Tytuł:

Model predictive control of multilevel cascaded converter with boosting capability – a simulation study

Autorzy:

Wiatr, P.
Kazmierkowski, M. P.

Tematy:

cascaded H-bridge
CHB
model predictive control
MPC
multilevel converters
sterowanie predykcyjne
konwenter wielopoziomowy

Pokaż więcej

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/201916.pdf  Link otwiera się w nowym oknie

Opis:

This paper presents a multilevel cascaded H-bridge 5-level converter with boosting capability. The standard solution for boosting voltage in power electronic devices is based on a DC-DC converter with a bulky inductor. However, inductor is a problematic component of a power electronic converter because usually it has to be individually designed and produced for every device and also because its size and weight do not allow for compact construction. This paper presents model predictive control (MPC) method that gives boosting capability for the presented converter. A novel contribution of this paper is the development of a predictive model of the converter and cost function enabling output current control and capacitor voltage balancing.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 36.

Tytuł:

Efektywny obliczeniowo algorytm wielowymiarowej regulacji predykcyjnej dla modeli typu wejście-wyjście
A computationally efficient multivariable predictive control algorithm for input-output models

Autorzy:

Ławryńczuk, M.
Tatjewski, P.

Tematy:

regulacja predykcyjna
modele liniowe
metoda najmniejszych kwadratów
model predictive control
least squares method

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Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Powiązania:

https://bibliotekanauki.pl/articles/154561.pdf  Link otwiera się w nowym oknie

Opis:

W pracy przedstawiono kompletne wyprowadzenie algorytmu regulacji predykcyjnej wielowymiarowych procesów liniowych modelowanych za pomocą dyskretnych równań różnicowych. W przeciwieństwie do algorytmu GPC, prognozowana trajektoria wymuszona i swobodna sygnałów wyjściowych wyznaczana jest bez potrzeby rozwiązania macierzowego równania diofantycznego. W przypadku braku ograniczeń zmiennych procesowych zadanie optymalizacji funkcji kryterialnej rozwiązuje się numerycznie efektywną metodą najmniejszych kwadratów. Omówiono również sposób wyprowadzenia analitycznego przwa regulacji.
This paper develops a predictive control algorithm for multivariable processes modelled by means of linear input-output models. Unlike the GPC algorithm, predicted forced and free trajectories are calculated without the necessity of solving a matrix Diophantine equation. In the unconstrained case the optimal input profile, using a numerically reliable least-squares method, is derived as an analytical formula, calculated beforehand.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 37.

Tytuł:

Wykorzystanie właściwości algorytmów regulacji predykcyjnej w detekcji uszkodzeń
Exploitation of properties of the MPC algorithms in fault detection

Autorzy:

Marusak, P. M.

Tematy:

regulacja predykcyjna
detekcja uszkodzeń
regulacja odporna na uszkodzenia
model predictive control
fault detection
fault-tolerant control

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Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Powiązania:

https://bibliotekanauki.pl/articles/276643.pdf  Link otwiera się w nowym oknie

Opis:

Algorytmy regulacji predykcyjnej dzięki sposobowi ich formułowania, w którym w umiejętny sposób wykorzystuje się model procesu, gwarantują bardzo dobrą jakość regulacji. Często ma to miejsce także w przypadku wystąpienia uszkodzenia w układzie regulacji. Wiele takich uszkodzeń może być nawet trudnych do zauważenia dzięki działaniu regulatora, jednak pożądane jest ich wykrycie. W artykule zaproponowano wykorzystanie w celu wykrywania uszkodzeń faktu, że w algorytmach regulacji predykcyjnej na bieżąco oceniana jest jakość modelu, na którym algorytm bazuje, przez porównywanie jego wyjścia z wartością wyjścia obiektu. Metoda może więc zostać użyta w algorytmach regulacji predykcyjnej dowolnego typu, bazujących zarówno na liniowych, jak i nieliniowych modelach obiektów.
The model predictive control (MPC) algorithms due to their formulation and clever usage of the process model offer good control performance. It is also the case when some faults take place in the control system. Many of such faults can be even hard to notice thanks to the operation of the controller. It is, however, desired to be able to detect such situations. In the paper it is proposed to use internal signals of the MPC controllers in order to detect faults that occurred in the system. The method can be applied in the MPC algorithms based on both linear or nonlinear models.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 38.

Tytuł:

Nonlinear model predictive control for processes with complex dynamics: A parameterisation approach using Laguerre functions

Autorzy:

Ławryńczuk, Maciej

Tematy:

process control
nonlinear model predictive control
Laguerre functions
linearisation
sterowanie procesami
model nieliniowy
sterowanie predykcyjne
funkcje Laguerre’a

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Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/329999.pdf  Link otwiera się w nowym oknie

Opis:

Classical model predictive control (MPC) algorithms need very long horizons when the controlled process has complex dynamics. In particular, the control horizon, which determines the number of decision variables optimised on-line at each sampling instant, is crucial since it significantly affects computational complexity. This work discusses a nonlinear MPC algorithm with on-line trajectory linearisation, which makes it possible to formulate a quadratic optimisation problem, as well as parameterisation using Laguerre functions, which reduces the number of decision variables. Simulation results of classical (not parameterised) MPC algorithms and some strategies with parameterisation are thoroughly compared. It is shown that for a benchmark system the MPC algorithm with on-line linearisation and parameterisation gives very good quality of control, comparable with that possible in classical MPC with long horizons and nonlinear optimisation.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 39.

Tytuł:

Robust output predictive sequential controller design

Autorzy:

Vesely, V.
Rosinova, D.

Tematy:

model predictive control
robust control
parameter dependent quadratic stability
Lyapunov function
polytopic system
sequential approach

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/229887.pdf  Link otwiera się w nowym oknie

Opis:

The paper addresses design problem of a robust parameter dependent quadratically stabilizing output/state feedback model predictive control for linear polytopic systems without constraints using original equential approach. The design procedure ensures stability, robustness properties and guaranteed cost for the closed-loop uncertain system

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 40.

Tytuł:

Nonlinear predictive control based on neural multi-models

Autorzy:

Ławryńczuk, M.
Tatjewski, P.

Tematy:

sterowanie procesami
sterowanie predykcyjne
sieć neuronowa
optymalizacja
linearyzacja
process control
model predictive control
neural networks
optimisation
linearisation

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Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/907773.pdf  Link otwiera się w nowym oknie

Opis:

This paper discusses neural multi-models based on Multi Layer Perceptron (MLP) networks and a computationally efficient nonlinear Model Predictive Control (MPC) algorithm which uses such models. Thanks to the nature of the model it calculates future predictions without using previous predictions. This means that, unlike the classical Nonlinear Auto Regressive with eXternal input (NARX) model, the multi-model is not used recurrently in MPC, and the prediction error is not propagated. In order to avoid nonlinear optimisation, in the discussed suboptimal MPC algorithm the neural multi-model is linearised on-line and, as a result, the future control policy is found by solving of a quadratic programming problem.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 41.

Tytuł:

A numerically efficient fuzzy MPC algorithm with fast generation of the control signal

Autorzy:

Marusak, Piotr M.

Tematy:

model predictive control
fuzzy system
fuzzy control
nonlinear control
sterowanie predykcyjne
system rozmyty
sterowanie rozmyte
sterowanie nieliniowe

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Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/1838187.pdf  Link otwiera się w nowym oknie

Opis:

Model predictive control (MPC) algorithms are widely used in practical applications. They are usually formulated as optimization problems. If a model used for prediction is linear (or linearized on-line), then the optimization problem is a standard, i.e., quadratic, one. Otherwise, it is a nonlinear, in general, nonconvex optimization problem. In the latter case, numerical problems may occur during solving this problem, and the time needed to calculate control signals cannot be determined. Therefore, approaches based on linear or linearized models are preferred in practical applications. A novel, fuzzy, numerically efficient MPC algorithm is proposed in the paper. It can offer better performance than the algorithms based on linear models, and very close to that of the algorithms based on nonlinear optimization. Its main advantage is the short time needed to calculate the control value at each sampling instant compared with optimization-based numerical algorithms; it is a combination of analytical and numerical versions of MPC algorithms. The efficiency of the proposed approach is demonstrated using control systems of two nonlinear control plants: the first one is a chemical CSTR reactor with a van de Vusse reaction, and the second one is a pH reactor.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 42.

Tytuł:

Robust fuzzy predictive control structure
Odporny układ rozmytej regulacji predykcyjnej

Autorzy:

Domek, S.

Tematy:

odporność
regulacja predykcyjna
regulacja ze śledzeniem modelu
regulacja rozmyta
robustness
model predictive control
model following control (MFC)
fuzzy control

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Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Powiązania:

https://bibliotekanauki.pl/articles/157019.pdf  Link otwiera się w nowym oknie

Opis:

An effective method is proposed for robust predictive control of nonlinear processes that is easily implementable on commonly used equipment, such as PLC and PAC. The method is based on a two-loop model following control (MFC) system containing a nominal model of the controlled plant and two controllers: the nonlinear, suboptimal fuzzy predictive one as the main controller and the proposed robust controller as an auxiliary one. In the paper ways of employing Takagi-Sugeno fuzzy models to synthesize Model Predictive Control with State equations (MPCS) for nonlinear processes and basic features exhibited by the MFC structure are presented. The resulting controller has been incorporated into the MFC structure, and then a method for synthesizing the auxiliary controller has been given. The proposed control structure has been tested for its performance on control plants with perturbed parameters. Results of tests lend support to the view that the proposed control method may find wide application to robust control of nonlinear plants with time-varying parameters.
W artykule zaproponowano efektywną metodę odpornej regulacji predykcyjnej procesów nieliniowych, łatwą do implementacji w powszechnie stosowanym komputerowym sprzęcie automatyki takim jak sterowniki PLC oraz PAC. Metoda wykorzystuje dwupętlowy układ sterowania ze śledzeniem modelu (ang. Model Following Control - MFC) zawierający model nominalnego nieliniowego obiektu oraz dwa regulatory: główny - nieliniowy, suboptymalny predykcyjny regulator rozmyty oraz proponowany odporny regulator pomocniczy. Pokazano sposób wykorzystania do budowy regulatora głównego obiektów nieliniowych rozmytych modeli Takagi-Sugeno w przestrzeni stanu oraz podstawowe zalety struktury MFC. Przedstawiono sposób syntezy regulatora pomocniczego. Proponowana struktura została przetestowana ze względu na jakość regulacji obiektów perturbowanych. Wyniki badań pokazują, że może ona znaleźć zastosowanie do odpornej regulacji obiektów nieliniowych o parametrach zmiennych w czasie.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 43.

Tytuł:

Constant switching frequency predictive control scheme for three-level inverter-fed sensorless induction motor drive

Autorzy:

Stando, D.
Kazmierkowski, M. P.

Tematy:

model predictive control MPC
induction motor (IM)
direct torque and flux control (DTFC)
sensorless control
MRAS
three-level VSI

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/200480.pdf  Link otwiera się w nowym oknie

Opis:

The paper presents a novel model predictive flux control (MPFC) scheme for three-level inverter-fed sensorless induction motor drive operated in a wide speed region, including field weakening. The novelty of the proposed drive lies in combining in one system a number of new solutions providing important features, among which are: very high dynamics, constant switching frequency, no need to adjust weighting factors in the predictive cost function, adaptive speed and parameter (stator resistance, main inductance) estimation. The theoretical principles of the optimal switching sequence predictive stator flux control (OSS-MPFC) method used are also discussed. The method guarantees constant switching frequency operation of a three-level inverter. For speed estimation, a compensated model reference adaptive system (C-MRAS) was adopted while for IM parameters estimation a Q-MRAS was developed. Simulation and experimental results measured on a 50 kW drive that illustrates operation and performances of the system are presented. The proposed novel solution of a predictive controlled IM drive presents an attractive and complete algorithm/system which only requires the knowledge of nominal IM parameters for proper operation.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 44.

Tytuł:

Optimizing control by robustly feasible model predictive control and application to drinkingwater distribution systems

Autorzy:

Tran, V. N.
Brdys, M. A.

Tematy:

optimizing
model predictive control
MPC
Robustly Feasible MPC
RFMPC
Drinking
Water Distribution Systems
DWDS
genetic algorithm

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Wydawca:

Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych

Powiązania:

https://bibliotekanauki.pl/articles/91723.pdf  Link otwiera się w nowym oknie

Opis:

The paper considers optimizing Model Predictive Control (MPC) for nonlinear plants with output constraints under uncertainties. Although the MPC technology can handle the constraints in the model by solving constraint model based optimization task, satisfying the plant output constraints under the model uncertainty still remains a challenge. The paper proposes Robustly Feasible MPC (RFMPC), which achieves feasibility of the outputs in the controlled plant. The RFMPC which is applied to control quantity in Drinking Water Distribution Systems (DWDS) is illustrated by application to the DWDS example. In the simulation exercise, Genetic Algorithm is selected as the optimization solver and the reduced search space methodology is applied in the implementation under MATLABEPANET environment.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 45.

Tytuł:

Model predictive control of NPC three-level grid-tied converter based on reconstructed current

Autorzy:

Li, Yanyan
Xiao, Han
Jin, Nan
Yan, Guanglu

Tematy:

current reconstruction
current sensor fault
fault-tolerant
model predictive control
neutral point clamped three-level converter

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/2086686.pdf  Link otwiera się w nowym oknie

Opis:

The neutral point clamped (NPC) three-level grid-tied converter is the key equipment connecting renewable energy and power grids. The current sensor fault caused by harsh environment may lead to the split of renewable energy. The existing sensor fault-tolerant methods will reduce the modulation ratio index of the converter system. To ensure continuous operation of the converter system and improve the modulation index, a model predictive control method based on reconstructed current is proposed in this paper. According to the relationship between fault phase current and a voltage vector, the original voltage vector is combined and classified. To maintain the stable operation of the converter and improve the utilization rate of DC voltage, two kinds of fault phase current are reconstructed with DC current, normal phase current and predicted current, respectively. Based on reconstructed three-phase current, a current predictive control model is designed, and a model predictive control method is proposed. The proposed method selects the optimal voltage vector with the cost function and reduces time delay with the current reconstruction sector. The simulation and experimental results show that the proposed strategy can keep the NPC converter running stably with one AC sensor, and the modulation index is increased from 57.7% to 100%.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 46.

Tytuł:

Efficient nonlinear predictive control based on structured neural models

Autorzy:

Ławryńczuk, M.

Tematy:

sterowanie procesami
sterowanie predykcyjne
sieć neuronowa
optymalizacja
linearyzacja
process control
model predictive control
neuron network
optimisation
linearisation

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Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/907652.pdf  Link otwiera się w nowym oknie

Opis:

This paper describes structured neural models and a computationally efficient (suboptimal) nonlinear Model Predictive Control (MPC) algorithm based on such models. The structured neural model has the ability to make future predictions of the process without being used recursively. Thanks to the nature of the model, the prediction error is not propagated. This is particularly important in the case of noise and underparameterisation. Structured models have much better long-range prediction accuracy than the corresponding classical Nonlinear Auto Regressive with eXternal input (NARX) models. The described suboptimal MPC algorithm needs solving on-line only a quadratic programming problem. Nevertheless, it gives closed-loop control performance similar to that obtained in fully-fledged nonlinear MPC, which hinges on online nonconvex optimisation. In order to demonstrate the advantages of structured models as well as the accuracy of the suboptimal MPC algorithm, a polymerisation reactor is studied.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 47.

Tytuł:

An infinite horizon predictive control algorithm based on multivariable input-output models

Autorzy:

Ławryńczuk, M.
Tatjewski, P.

Tematy:

sterowanie predykcyjne
horyzont nieskończony
programowanie kwadratowe
model predictive control
stability
infinite horizon
singular value decomposition
quadratic programming

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Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/907410.pdf  Link otwiera się w nowym oknie

Opis:

In this paper an infinite horizon predictive control algorithm, for which closed loop stability is guaranteed, is developed in the framework of multivariable linear input-output models. The original infinite dimensional optimisation problem is transformed into a finite dimensional one with a penalty term. In the unconstrained case the stabilising control law, using a numerically reliable SVD decomposition, is derived as an analytical formula, calculated off-line. Considering constraints needs solving on-line a quadratic programming problem. Additionally, it is shown how free and forced responses can be calculated without the necessity of solving a matrix Diophantine equation.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 48.

Tytuł:

Properties of active rectifier with LCL filter in the selection process of the weighting factors in finite control set-MPC

Autorzy:

Falkowski, P.
Sikorski, A.
Kulikowski, K.
Korzeniewski, M.

Tematy:

model predictive control (MPC)
active front end converters
inductive-capacitive-inductive (LCL) filter
weighting factors selection

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Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Powiązania:

https://bibliotekanauki.pl/articles/200718.pdf  Link otwiera się w nowym oknie

Opis:

One of the main problems of multivariable cost functions in model predictive control is the choice of weighting factors. Two finite control set model predictive control algorithms, applied to the three-phase active rectifier with an LCL filter, are described in the paper. The investigated algorithms, i.e. PCicuc and PCigicuc, implement multivariable approaches applying line (grid) current, capacitor voltage and converter current. The main problem dealt with in the paper is the choice of optimum values of the cost function weighting factors. The values of the factors calculated using the method proposed in the paper are very close to the values represented by the lowest THDi of the line current. Moreover, simulations verifying the equations used in the prediction of controlled values, i.e. line current, capacitor voltage and converter current, are presented. Both simulation and experimental results are presented to verify effectiveness of the investigated control strategies under change of the load (P = 5 kW and 2.5 kW), during transient states, under unbalanced and balanced line voltage.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 49.

Tytuł:

Model Predictive Control application in the energy saving technology of basic oxygen furnace
Zastosowanie Modelu Sterowania Predykcyjnego w energooszczędnej technologii prostego pieca tlenowego

Autorzy:

Stepanets, Oleksandr
Mariiash, Yurii

Tematy:

model predictive control
basic oxygen furnace
optimal control
energy saving
model sterowania predykcyjnego
prosty piec tlenowy
optymalna kontrola
oszczędność energii

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Wydawca:

Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej

Powiązania:

https://bibliotekanauki.pl/articles/408432.pdf  Link otwiera się w nowym oknie

Opis:

The fulfilment of the condition for the simultaneous achievement of the desired chemical composition and temperature of the metal is ensured by controlling the oxygen consumption and the position of the oxygen impeller lance. The method for solving Model Predictive Control with quadratic functionality in the presence of constraints is given. Implementation of the described solutions will contribute to increasing the proportion of scrap and reducing the melting period without changing of technological process.
Spełnienie warunku jednoczesnego osiągnięcia pożądanego składu chemicznego i temperatury metalu jest zapewnione poprzez kontrolę zużycia tlenu i położenia palnika tlenowego. Zaprezentowano metodę rozwiązania Modelu Sterowania Predykcyjnego z funkcjonalnością kwadratową w obecności ograniczeń. Wdrożenie opisanego rozwiązania przyczyni się do zwiększenia udziału złomu i skrócenia czasu topnienia bez zmiany procesu technologicznego.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce

Skocz do pozycji: 50.

Tytuł:

Multi-layer health-aware economic predictive control of a pasteurization pilot plant

Autorzy:

Karimi Pour, F.
Puig, V.
Ocampo-Martinez, C.

Tematy:

model predictive control
two layers control scheme
economic optimization
health aware controller
sterowanie predykcyjne
optymalizacja ekonomiczna
kontroler zorientowany

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Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Powiązania:

https://bibliotekanauki.pl/articles/330591.pdf  Link otwiera się w nowym oknie

Opis:

This paper proposes two different health-aware economic predictive control strategies that aim at minimizing the damage of components in a pasteurization plant. The damage is assessed with a rainflow-counting algorithm that allows estimating the components' fatigue. By using the results obtained from this algorithm, a simplified model that characterizes the health of the system is developed and integrated into the predictive controller. The overall control objective is modified by adding an extra criterion that takes into account the accumulated damage. The first strategy is a single-layer predictive controller with an integral action to eliminate the steady-state error that appears when adding the extra criterion. In order to achieve the best minimal accumulated damage and operational costs, the single-layer approach is improved with a multi-layer control scheme, where the solution of the dynamic optimization problem is obtained from the model in two different time scales. Finally, to achieve the advisable trade-off between minimal accumulated damage and operational costs, both control strategies are compared in simulation over a utility-scale pasteurization plant.

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

• na półce