Robust nonlinear control of wind energy conversion systems

Kamal, Elkhatib; Aitouche, Abdel; Ghorbani, Reza; Merchez, Mireille

Document type :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1016/j.ijepes.2012.07.009

Title :

Robust nonlinear control of wind energy conversion systems

Author(s) :

Kamal, Elkhatib [Auteur]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur correspondant]
Systèmes Tolérants aux Fautes [STF]
Ghorbani, Reza [Auteur]
Merchez, Mireille [Auteur]

Systèmes Tolérants aux Fautes [STF]

Journal title :

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Pages :

202-209

Publisher :

Elsevier

Publication date :

2013

ISSN :

0142-0615

English keyword(s) :

Wind Energy
Robust control
TS fuzzy system
LMIs
PDC

HAL domain(s) :

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

English abstract : [en]

This paper presents stability analysis for a class of uncertain nonlinear systems and a method for designing robust fuzzy controllers to stabilize the uncertain nonlinear systems. First, the Takagi-Sugeno (TS) fuzzy model ...
Show more >This paper presents stability analysis for a class of uncertain nonlinear systems and a method for designing robust fuzzy controllers to stabilize the uncertain nonlinear systems. First, the Takagi-Sugeno (TS) fuzzy model is adopted for fuzzy modeling of the uncertain nonlinear system. Next, new stability conditions for a generalized class of uncertain systems are derived from robust control techniques such Linear Matrix Inequalities (LMIs). The derived stability conditions are used to analyze the stability of Takagi and Sugeno's fuzzy control systems with uncertainty which can be regarded as a generalized class of uncertain nonlinear systems. The design method employs the so-called Parallel Design Approach (PDA). TS fuzzy systems are classified into three families based on the input matrices and a robust fuzzy controller's synthesis procedure is given for each family. In each family, sufficient conditions are derived for robust stabilization in the sense of Taylor series stability, for the TS fuzzy system with parametric uncertainties. Important issues for the stability analysis and design are remarked. The effectiveness of the proposed controller design methodology is finally demonstrated through the two different models of Wind Energy Systems (WES) to illustrate the effectiveness of the proposed method.Show less >

Language :

Anglais

Popular science :

Non

Comment :

nombre de pages:8

Collections :

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

Source :

Harvested from HAL

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