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1. Sliding Mode Control with Application to Fault-Tolerant Control: Assessment and Open Problems

Author

Jérôme Cieslak, Jorge Davila, Jazmìn Zenteno Torres, David Henry, Laboratoire de l'intégration, du matériau au système (IMS), Centre National de la Recherche Scientifique (CNRS)-Institut Polytechnique de Bordeaux-Université Sciences et Technologies - Bordeaux 1, Instituto Politecnico Nacional [Mexico] (IPN), and This paper was prepared within a collaboration between IPN (Mexico) and IMS Lab. (France) with financial support from CONACyT, under grant 440473 (CVU 594664).

Subjects
0209 industrial biotechnology, Computer science, 020208 electrical & electronic engineering, Control (management), Fault tolerance, 02 engineering and technology, Fault (power engineering), Sliding mode control, Industrial engineering, Sliding mode controller, 020901 industrial engineering & automation, General Energy, Robustness (computer science), Control theory, Fault tolerant control, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, 0202 electrical engineering, electronic engineering, information engineering
Abstract

International audience; This paper is prepared within a collaboration between the Instituto Politécnico Nacional, which is a Mexican research institute that manages research on sliding-mode control theory, and the ARIA research team of the Intégration du Matériau au Système Lab., a French research groupthat engages research on model-based fault diagnosis and fault-tolerant control theories. The paper reviews the application of sliding mode control techniques to fault tolerant control and provides perspectives leading to posing some open problems. Operating principles, definitions of the basic concepts are recalled along with the control objectives and design procedures. The evolution of the sliding mode control technique through five generations (as classified by Fridman, Moreno and coworkers) is reviewed. Their respective design procedures, limitations, and robustness properties are also highlighted. The application of the five generations of sliding-mode controllers to fault-tolerant control is discussed. The focus is on some open problems that are judged to commonly be overlooked. Some applications in real-world systems are also presented.

Published
2021

2. Unknown Input Observer with Fuzzy Fault Tolerant Control for Wind Energy System

Author

Mireille Bayart, Elkhatib Kamal, Reza Ghorbani, Abdel Aitouche, Systèmes Tolérants aux Fautes (STF), Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189 (CRIStAL), Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Ecole Centrale de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Ecole Centrale de Lille, Mechnaical Engineering Laboratory, University of Hawai‘i [Mānoa] (UHM), IFAC PAPER ON LINE, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, Wind power, Observer (quantum physics), business.industry, reconfigurable control, Induction generator, Stability (learning theory), Control engineering, Fault tolerance, 02 engineering and technology, Fuzzy logic, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Nonlinear system, 020901 industrial engineering & automation, Applications and fault tolerant control, Control theory, Convex optimization, Power plants and power systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business
Abstract

International audience; This paper proposes a Fuzzy Dedicated Observers (FDOS) method using a Nonlinear Unknown Input Fuzzy Observer (UIFO) with a Fuzzy Fault Tolerant Control (FFTC) algorithm for fuzzy Takagi-Sugeno (TS) systems subject to sensor faults. FDOS provide residuals for detection and isolation of sensor faults which can affect a TS model. Parallel Distributed Compensation (PDC) is employed to design the fuzzy Fault Tolerant Controller from a TS fuzzy model. Sufficient stabilization conditions of the FFTC systems are given, which are formulated in terms of Linear Matrix Inequalities (LMIs). The LMIs can be efficiently solved using convex optimization techniques. Based on the derivation and simulation of the proposed FFTC approach, the stability of the closed-loop system in the event of sensor failures and unknown inputs is guaranteed. A wind Energy System (WES) with a Doubly-Fed Induction Generator (DFIG) example is illustrated to show the effectiveness of the proposed design method.

Published
2012