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    Wyświetlanie 1-6 z 6
    Tytuł:
    Comparison between GPC and adaptive GPC based on Takagi Sugeno multi-model for an Activated Sludge Reactor
    Autorzy:
    Matoug, L.
    Khadir, M. T.
    Tematy:
    adaptive generalized predictive control
    generalized predictive control
    Takagi Sugeno
    activated sludge reactor
    activated sludge model
    Pokaż więcej
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Powiązania:
    https://bibliotekanauki.pl/articles/206049.pdf  Link otwiera się w nowym oknie
    Opis:
    This paper investigates the use of Adaptive Generalized Predictive Control (TS-AGPC) for an activated sludge reactor, based on a Takagi Sugeno (TS) model, and presents the comparison between the latter and Generalized Predictive Control using an overall TS model (TS-GPC). The reduced bio-reactor Activated Sludge ASM1 Model, which describes the biological degradation of an activated sludge reactor, is designed based on several simplifications, as a TS model, its structure being based on a set of linear submodels, covering the process input-output space, interpolated by a nonlinear weighting function µ. The adaptive GPC approach is obtained by switching between linear submodels of the TS formulation. This is performed by selecting, in turns, a portion of the weighting function µ. The winning model will then act as an internal model for the TS-AGPC control law formulation, whereas the complete TS model is used in the calculation of the TS-GPC control law. Finally, the performance under input and parametric disturbances as well as control variable constraints of the TS-AGPC controller are compared to those for a global TS-GPC controller and a benchmark PID in terms of error and response dynamics.
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Off-line robustification of Generalized Predictive Control for uncertain systems
    Autorzy:
    Otmane, K. K.
    Bali, N.
    Nezli, L.
    Tematy:
    generalized predictive control
    polytopic uncertainties
    relaxation
    robust control
    Youla parametrization
    Pokaż więcej
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Powiązania:
    https://bibliotekanauki.pl/articles/229918.pdf  Link otwiera się w nowym oknie
    Opis:
    An off-line methodology was proposed for enhancing the robustness of an initial Generalized Predictive Control (GPC) by convex optimization of the Youla parameter. However, this procedure of robustification is restricted with the case of the systems affected only by unstructured uncertainties. This paper proposes an extension of this method to the systems subjected to both unstructured and structured polytopic uncertainties. The main idea consists in adding supplementary constraints to the optimization problem which validates the Lipatov stability condition at each vertex of the polytope. These polytopic uncertainties impose a set of non convex quadratic constraints. The globally optimal solution is found by means of the GloptiPoly3 software. Therefore, this robustification provides stability robustness towards unstructured uncertainties for the nominal system, while guaranteeing stability properties over a specified polytopic domain of uncertainties. Finally, an illustrative example is given.
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Self-Tuning Generalized Predictive Control With Input Constraints
    Autorzy:
    Królikowski, A.
    Jerzy, D.
    Tematy:
    samostrojenie
    sterowanie
    generalized predictive control
    constraints
    self-tuning
    ARIMAX/ARMAX systems
    Pokaż więcej
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Powiązania:
    https://bibliotekanauki.pl/articles/908330.pdf  Link otwiera się w nowym oknie
    Opis:
    The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAX/ARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Dynamic Algorithm for Linear Quadratic Gaussian Predictive Control
    Autorzy:
    Ordys, A. W.
    Hangstrup, M. E.
    Grimble, M. J.
    Tematy:
    przestrzeń fazowa
    sterowanie wielowymiarowe
    sterowanie predykcyjne
    state-space design
    multivariable control
    linear quadratic Gaussian predictive control
    generalized predictive control
    Pokaż więcej
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Powiązania:
    https://bibliotekanauki.pl/articles/911167.pdf  Link otwiera się w nowym oknie
    Opis:
    In this paper, the optimal control law is derived for a multi-variable state-space Linear Quadratic Gaussian Predictive Controller (LQGPC). A dynamic performance index is utilized resulting in an optimal steady-state controller. Knowledge of future reference values is incorporated into the controller design and the solution is derived using the method of Lagrange multipliers. It is shown how the well-known GPC controller can be obtained as a special case of the LQGPC controller design. The important advantage of using the LQGPC framework for designing predictive controllers is that, based on stabilizing properties of LQG control, it enables a systematic approach to selection of the design parameters to yield a stable closed-loop system. The system model considered in this paper can be further extended toalso include direct feed-through and knowledge about future external inputs.
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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)
    Pokaż więcej
    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
    Artykuł
    Tytuł:
    A multivariable multiobjective predictive controller
    Autorzy:
    Ben Aicha, F.
    Bouani, F.
    Ksouri, M.
    Tematy:
    closed loop performance
    coupled multivariable system
    generalized predictive control
    multiobjective optimization
    weighted sum method
    NSGA-II
    układ wielowymiarowy
    sterowanie predykcyjne
    optymalizacja wielokryterialna
    metoda sumy ważonej
    Pokaż więcej
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Powiązania:
    https://bibliotekanauki.pl/articles/331360.pdf  Link otwiera się w nowym oknie
    Opis:
    Predictive control of MIMO processes is a challenging problem which requires the specification of a large number of tuning parameters (the prediction horizon, the control horizon and the cost weighting factor). In this context, the present paper compares two strategies to design a supervisor of the Multivariable Generalized Predictive Controller (MGPC), based on multiobjective optimization. Thus, the purpose of this work is the automatic adjustment of the MGPC synthesis by simultaneously minimizing a set of closed loop performances (the overshoot and the settling time for each output of the MIMO system). First, we adopt the Weighted Sum Method (WSM), which is an aggregative method combined with a Genetic Algorithm (GA) used to minimize a single criterion generated by the WSM. Second, we use the Non- Dominated Sorting Genetic Algorithm II (NSGA-II) as a Pareto method and we compare the results of both the methods. The performance of the two strategies in the adjustment of multivariable predictive control is illustrated by a simulation example. The simulation results confirm that a multiobjective, Pareto-based GA search yields a better performance than a single objective GA.
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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