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Communication Dans Un Congrès Année : 2013

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

Elkhatib Kamal
Mireille Bayart

Résumé

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.

Dates et versions

hal-00801989 , version 1 (18-03-2013)

Identifiants

Citer

Elkhatib Kamal, Abdel Aitouche, Reza Ghorbani, Mireille Bayart. Unknown Input Observer with Fuzzy Fault Tolerant Control for Wind Energy System. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012, Aug 2012, Mexico, Mexico. pp.946-951, ⟨10.3182/20120829-3-MX-2028.00069⟩. ⟨hal-00801989⟩
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