Robust nonlinear control of wind energy ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Robust nonlinear control of wind energy conversion systems
Auteur(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]
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]
Titre de la revue :
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Pagination :
202-209
Éditeur :
Elsevier
Date de publication :
2013
ISSN :
0142-0615
Mot(s)-clé(s) en anglais :
Wind Energy
Robust control
TS fuzzy system
LMIs
PDC
Robust control
TS fuzzy system
LMIs
PDC
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Commentaire :
nombre de pages:8
Collections :
Source :
Fichiers
- fulltext.pdf
- Accès libre
- Accéder au document