1. Unknown Input Observer with Fuzzy Fault Tolerant Control for Wind Energy System
- Author
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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