Robust Fault Tolerant Control of DFIG Wind Energy Systems with Unknown Inputs

Kamal, Elkhatib; Aitouche, Abdel

Type de document :

Article dans une revue scientifique

DOI :

10.1016/j.renene.2012.10.024

Titre :

Robust Fault Tolerant Control of DFIG Wind Energy Systems with Unknown Inputs

Auteur(s) :

Kamal, Elkhatib [Auteur]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]

Titre de la revue :

Renewable Energy

Pagination :

2-15

Éditeur :

Elsevier

Date de publication :

2012-11-27

ISSN :

0960-1481

Mot(s)-clé(s) en anglais :

DFIG
FTC
Parameters uncertainties
Sensor faults
TS fuzzy model
Unknown inputs

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique

Résumé en anglais : [en]

This paper proposes a Fuzzy Dedicated Observers (FDOS) method using a Nonlinear Unknown Input Fuzzy Observer (UIFO) with a Fuzzy Scheduler Fault Tolerant Control (FSFTC) algorithm for fuzzy Takagi-Sugeno (TS) systems subject ...
Lire la suite >This paper proposes a Fuzzy Dedicated Observers (FDOS) method using a Nonlinear Unknown Input Fuzzy Observer (UIFO) with a Fuzzy Scheduler Fault Tolerant Control (FSFTC) algorithm for fuzzy Takagi-Sugeno (TS) systems subject to sensor faults, parametric uncertainties, and time varying unknown inputs. FDOS provide residuals for detection and isolation of sensor faults which can affect a TS model. The TS fuzzy model is adopted for fuzzy modeling of the uncertain nonlinear system and establishing fuzzy state observers. The concept of Parallel Distributed Compensation (PDC) is employed to design FSFTC and fuzzy observers from the TS fuzzy models. TS fuzzy systems are classified into three families based on the input matrices and a FSFTC synthesis procedure is given for each family. In each family, sufficient conditions are derived for robust stabilization, in the sense of Taylor series stability and Lyapunov method, for the TS fuzzy system with parametric uncertainties, sensor faults, and unknown inputs. The sufficient conditions are formulated in the format of Linear Matrix Inequalities (LMIs). The effectiveness of the proposed controller design methodology is finally demonstrated through a wind energy system with Doubly Fed Induction Generators (DFIG) to illustrate the effectiveness of the proposed methodLire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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