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Wyszukujesz frazę "sensor fault" wg kryterium: Temat


Tytuł:
Innovative Extended Kalman Filter in a Coherent System for Detection and Compensation of Various Current Sensor Faults in the Induction Motor Drive
Autorzy:
Orlowska-Kowalska, Teresa
Miniach, Magdalena
Wydawca:
IEEE
Cytata wydawnicza:
M. Miniach and T. Orlowska-Kowalska, "Innovative Extended Kalman Filter in a Coherent System for Detection and Compensation of Various Current Sensor Faults in the Induction Motor Drive," in IEEE Transactions on Industrial Electronics, vol. 72, no. 8, pp. 7772-7784, Aug. 2025, doi: 10.1109/TIE.2025.3528487.
Opis:
Measurement sensors, such as current sensors (CSs), are key components of any advanced AC motor drive. To ensure the highest quality and safety of the drive, CS faults, as well as significant measurement disturbances, must be detected and compensated for. This article presents the current sensor fault-tolerant control (CS-FTC) system using innovative extended Kalman filter (d-EKF) for induction motor (IM) drive. The parametric uncertainty correction factor estimated by d-EKF allows us to improve the quality of stator current estimation. The presented d-EKF not only performs CS fault compensation, but also provides reference signals to the residuum-based fault detector. The proposed CS-FTC enables the proper and stable speed regulation in the vector-controlled drive, also in a post-fault mode. An experimental validation of this solution, carried out over a wide range of speed and load changes in post-fault operation, confirmed the high quality of the stator current reconstruction and demonstrated the advantages and limitations of using the proposed d-EKF in the CS fault detection algorithm for the most frequently occurring types of CS faults.
Narodowe Centrum Nauki, Polska, grant No. 2021/41/B/ST7/02971
Paper NO. 24-TIE-3512, sent for review on August 27, 2024; accepted Decmber 28, 2024.
Dostawca treści:
Repozytorium Centrum Otwartej Nauki
Artykuł
Tytuł:
Development of a guaranteed minimum detectable sensor fault diagnosis scheme
Autorzy:
Witczak, Marcin
Pazera, Marcin
Majdzik, Paweł
Matysiak, Ryszard
Tematy:
minimum detectable fault
fault estimation
fault diagnosis
sensor fault
estymacja błędu
diagnostyka uszkodzeń
błąd czujnika
Pokaż więcej
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:
https://bibliotekanauki.pl/articles/59123781.pdf  Link otwiera się w nowym oknie
Opis:
The paper deals with the estimation of sensor faults for dynamic systems as well as the assessment of the uncertainty of the resulting estimates. For that purpose, it is assumed that the external disturbances are bounded within an ellipsoidal domain. This allows considering both stochastic and deterministic process and measurement uncertainties. Under such an assumption, a fault diagnosis scheme is developed with a prescribed convergence rate and accuracy. To achieve fault estimation, a conversion into an equivalent descriptor system is utilized. The paper provides a full stability and convergence analysis of the estimator including observability analysis. As a result, a set of complementary fault uncertainty intervals is obtained, which are minimized in such a way as to obtain a minimum detectable sensor fault. The final part of the paper exhibits a numerical example concerning fault estimation of a multi-tank system. The obtained results clearly confirm the performance of the proposed estimator expressed in the minimum detectable fault intervals.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementacja klasyfikatora uszkodzeń czujników prądu opartego na MLP w napędzie silnika indukcyjnego sterowanego wektorowo
Implementation of MLP-based Classifier of Current Sensor Faults in Vector-Controlled Induction Motor Drive
Autorzy:
Teler, Krystian
Orlowska-Kowalska, Teresa
Orlowska-Kowalska Teresa
Skowron, Maciej
Współwytwórcy:
Orlowska-Kowalska Teresa
Wydawca:
IEEE
Cytata wydawnicza:
K. Teler, M. Skowron and T. Orłowska-Kowalska, "Implementation of MLP-Based Classifier of Current Sensor Faults in Vector-Controlled Induction Motor Drive," in IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 5702-5713, April 2024, doi: 10.1109/TII.2023.3336348.
Opis:
Narodowe Centrum Nauki, Polska, grant No. 2021/41/B/ST7/02971
Paper NO. TII-23-3874, sent for review on 6 October 2023, accepted 12 November 2023.
This article deals with the neural networks (NN)-based classification of current sensor (CS) faults in an induction motor drive system designed according to the idea of fault-tolerant control (FTC). The CS-FTC system ensures continued system functionality, even after a failure has occurred, not only through its ability to detect and isolate faults but also through its ability to compensate for them. The article focuses on the development of the technical implementation of a CS faults classifier based on NN in considering the problem. The proposed method uses the principle structure of a multilayer perceptron (MLP) based on single samples of the stator phase current signal. The tests demonstrate techniques that allow the development of NN input vectors while eliminating the constraints resulting from the machine's operating conditions (load change, rotational speed change). In addition, the possibility of optimizing the input vector of the network in terms of the analyzed damages is demonstrated by using harmonic analysis. The article shows the possibility of full use of the mathematical model in the practical implementation of diagnostic systems implemented on a real object. MLP aims to determine the CS fault category (no fault, gain change, offset, saturation, open circuit) and fault localization (phase A or B). The experimental verification on a laboratory stand with an induction motor of 1.1 kW confirmed the efficiency of the proposed method in 97.2% of the cases.
Dostawca treści:
Repozytorium Centrum Otwartej Nauki
Artykuł
Tytuł:
Introduction to the Special Section on Intelligent Fault Monitoring and Fault–Tolerant Control in Power Electronics, Drives and Renewable Energy Systems
Autorzy:
Malinowski, Mariusz
Levi, Emil
Orlowska-Kowalska, Teresa
Tematy:
electrical drives
permanent magnet machine
induction motors
sensor fault
winding fault
demagnetization fault
neural networks
observers
Pokaż więcej
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:
https://bibliotekanauki.pl/articles/1193706.pdf  Link otwiera się w nowym oknie
Opis:
This article constitutes an introductory part of the special section on Intelligent Fault Monitoring and Fault-Tolerant Control in Power Electronics, Drives and Renewable Energy Systems. In the current issue of the journal, the first part of this section is published. Accepted articles are focussed mainly on the sensor-fault diagnosis methods for T-type inverter-fed dual- three phase PMSM drives, partial demagnetization, faults of the permanent magnet synchronous generator (PMSG) and online open phase fault detection (FD) in the sensorless five-phase induction motor drive implemented with an inverter output LC filter and third harmonic injection. Also, neural networks (NN) application in the detection of stator and rotor electrical faults of induction motors has been proposed in one of the papers, and the observer-based FD concept for unknown systems using input–output measurements was applied to a brushless direct current motor drive with unknown parameters.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault Diagnosis of Sensors for T-type Three-Level Inverter-fed Dual Three-Phase Permanent Magnet Synchronous Motor Drives
Autorzy:
Wang, Xueqing
Wang, Zheng
Wang, Wei
Cheng, Ming
Tematy:
fault diagnosis
sensor fault
T-type inverter
three-level inverter
dual
three-phase
PMSM
Pokaż więcej
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:
https://bibliotekanauki.pl/articles/1193713.pdf  Link otwiera się w nowym oknie
Opis:
To improve the reliability of motor system, this paper investigates the sensor fault diagnosis methods for T-type inverter-fed dual three-phase permanent magnet synchronous motor (PMSM) drives. Generally, a T-type three-level inverter-fed dual three-phase motor drive utilizes four phase-current sensors, two direct current (DC)-link voltage sensors and one speed sensor. A series of diagnostic methods have been comprehensively proposed for the three types of sensor faults. Both the sudden error change and gradual error change of sensor faults are considered. Firstly, the diagnosis of speed sensor fault was achieved by monitoring the error between the rotating speed of stator flux and the value from speed sensor. Secondly, the large high-frequency voltage ripple of voltage difference between the estimated voltage and the reference voltage was used to identify the voltage sensor faults, and the faulty voltage sensor was determined according to the deviation of voltage difference. Thirdly, the abnormal current amplitude on harmonic subspace was adopted to identify the current sensor faults, and the faulty current sensor was located by distinguishing the current trajectory on harmonic subspace. The experiments have been taken on a laboratory prototype to verify the effectiveness of the proposed fault diagnosis schemes.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust multiple sensor fault-tolerant control for dynamic non-linear systems: Application to the aerodynamical twin-rotor system
Autorzy:
Pazera, M.
Buciakowski, M.
Witczak, M.
Tematy:
fault tolerant control
sensor fault
fault estimation
twin-rotor system
sterowanie tolerujące uszkodzenia
błąd czujnika
estymacja błędu
Pokaż więcej
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:
https://bibliotekanauki.pl/articles/330570.pdf  Link otwiera się w nowym oknie
Opis:
The paper deals with the problem of designing sensor-fault tolerant control for a class of non-linear systems. The scheme is composed of a robust state and fault estimator as well as a controller. The estimator aims at recovering the real system state irrespective of sensor faults. Subsequently, the fault-free state is used for control purposes. Also, the robust sensor fault estimator is developed in a such a way that a level of disturbances attenuation can be reached pertaining to the fault estimation error. Fault-tolerant control is designed using similar criteria. Moreover, a separation principle is proposed, which makes it possible to design the fault estimator and control separately. The final part of the paper is devoted to the comprehensive experimental study related to the application of the proposed approach to a non-linear twin-rotor system, which clearly exhibits the performance of the new strategy.
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Pokaż więcej
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
Artykuł
Tytuł:
A hybrid active fault-tolerant control scheme for wind energy conversion system based on permanent magnet synchronous generator
Autorzy:
Tahri, A.
Hassaine, S.
Moreau, S.
Tematy:
wind energy conversion system
active fault-tolerant control
permanent magnet synchronous generator
sensor fault diagnosis
sliding mode observer
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/140788.pdf  Link otwiera się w nowym oknie
Opis:
Wind energy has achieved prominence in renewable energy production. There- fore, it is necessary to develop a diagnosis system and fault-tolerant control to protect the system and to prevent unscheduled shutdowns. The presented study aims to provide an experimental analysis of a speed sensor fault by hybrid active fault-tolerant control (AFTC) for a wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG). The hybrid AFTC switches between a traditional controller based on proportional integral (PI) controllers under normal conditions and a robust backstepping controller system without a speed sensor to avoid any deterioration caused by the sensor fault. A sliding mode observer is used to estimate the PMSG rotor position. The proposed controller architecture can be designed for performance and robustness separately. Finally, the proposed methodwas successfully tested in an experimental set up using a dSPACE 1104 platform. In this experimental system, the wind turbine with a generator connection via a mechanical gear is emulated by a PMSM engine with controled speed through a voltage inverter. The obtained experimental results show clearly that the proposed method is able to guarantee service production continuity for the WECS in adequate transition.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diagnosis of sensor faults in a combustion engine control system with the artificial neural network
Diagnozowanie uszkodzeń czujników w systemie sterowania silnika spalinowego z wykorzystaniem sztucznej sieci neuronowej
Autorzy:
Komorska, iwona
Wołczyński, Zbigniew
Borczuch, Artur
Tematy:
combustion engine
sensor fault diagnosis
artificial neural network
silnik spalinowy
diagnozowanie uszkodzeń
czujnik
sztuczna sieć neuronowa
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Powiązania:
https://bibliotekanauki.pl/articles/329450.pdf  Link otwiera się w nowym oknie
Opis:
The work presents the investigations carried out on a spark-ignition internal combustion engine with gasoline direct injection. The tests were carried out under conditions of simulated damage to the air temperature sensor, engine coolant temperature sensor, fuel pressure sensor, air pressure sensor, intake manifold leakage, and air flow disturbances. The on-board diagnostic system did not detect any damage because the sensor indications were within acceptable limits. The engine control system in each case changed its settings according to the adaptive algorithm. Signal values in cycles from all available sensors in the engine control system and data available in the on-board diagnostic system of the car were recorded. A large amount of measurement data was obtained. They were used to create a statistical function that classifies sensor faults using an artificial neural network. A set of training data has been prepared accordingly. During learning the neural network, a hit rate of over 99% was achieved.
W pracy przedstawiono badania przeprowadzone na silniku spalinowym o zapłonie iskrowym z bezpośrednim wtryskiem paliwa. Testy wykonano w warunkach symulowanych uszkodzeń czujników temperatury powietrza, temperatury cieczy chłodzącej silnik, ciśnienia paliwa, ciśnienia powietrza, nieszczelności w kolektorze dolotowym, zaburzenia przepływu powietrza. System diagnostyki pokładowej nie wykrył żadnego uszkodzenia, ponieważ wskazania czujników mieściły się w granicach tolerancji. System sterowania silnika w każdym przypadku zmieniał swoje ustawienia według adaptacyjnego algorytmu. Rejestrowano cyklowe wartości sygnałów ze wszystkich dostępnych czujników w systemie sterowania silnika oraz dane dostępne w systemie diagnostyki pokładowej samochodu. Otrzymano dużą ilość danych pomiarowych. Wykorzystano je do utworzenia statystycznej funkcji klasyfikującej uszkodzenia przy pomocy sztucznej sieci neuronowej. Odpowiednio przygotowano zbiór danych uczących. W trakcie uczenia sieci neuronowej osiągnięto współczynnik trafień powyżej 99%.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
H/H∞ fault detection observer design for a polytopic LPV system using the relative degree
Autorzy:
Zhou, M.
Rodrigues, M.
Shen, Y.
Theilliol, D.
Tematy:
fault detection observer
polytopic LPV system
relative degree of output
actuator fault detection
sensor fault detection
detekcja uszkodzeń
urządzenie wykonawcze
czujnik detekcji
Pokaż więcej
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:
https://bibliotekanauki.pl/articles/330200.pdf  Link otwiera się w nowym oknie
Opis:
This paper proposes an H/H fault detection observer method by using generalized output for a class of polytopic linear parameter-varying (LPV) systems. As the main contribution, with the aid of the relative degree of output, a new output vector is generated by gathering the original output and its time derivative, and it is feasible to consider H actuator fault sensitivity in the entire frequency for the new system. In order to improve actuator and sensor fault sensitivity as well as guarantee robustness against disturbances, simultaneously, an H/H fault detection observer is designed for the new LPV polytopic system. Besides, the design conditions of the proposed observer are transformed into an optimization problem by solving a set of linear matrix inequalities (LMIs). Numerical simulations are provided to illustrate the effectiveness of the proposed method.
Dostawca treści:
Biblioteka Nauki
Artykuł

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