Robust Fuzzy Logic Control of Wind Energy ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Robust Fuzzy Logic Control of Wind Energy Conversion Systems with Unknown Inputs
Auteur(s) :
Kamal, Elkhatib [Auteur]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Ghorbani, Reza [Auteur]
Merchez, Mireille [Auteur]
Systèmes Tolérants aux Fautes [STF]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Ghorbani, Reza [Auteur]
Merchez, Mireille [Auteur]

Systèmes Tolérants aux Fautes [STF]
Titre de la revue :
International Journal of Power and Energy Systems
Pagination :
71-81
Éditeur :
ACTA Press
Date de publication :
2012-02-01
ISSN :
1078-3466
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
The maximum power extraction algorithms for variable speed wind turbines subjected to a wide range of wind variation, unknown inputs disturbance and parameter uncertainties are discussed in this paper. The "Takagi-Sugeno ...
Lire la suite >The maximum power extraction algorithms for variable speed wind turbines subjected to a wide range of wind variation, unknown inputs disturbance and parameter uncertainties are discussed in this paper. The "Takagi-Sugeno (TS) fuzzy model system with parametric uncertainties is adopted for modelling the nonlinear Wind Energy Conversion System (WECS) and establishing unknown input fuzzy observers. Sufficient conditions are derived for robust stabilization in the sense of Taylor series stability. The problem is formulated and solved using a Fuzzy Linear Matrix Inequalities (FLMIs). The main contribution of this paper is summarized in two points: (i) the proposed fuzzy control and fuzzy observer are completely robust to the unknown inputs disturbance, a wide range of wind speed variations and parameter uncertainties; (ii) maximizes the power that is produced from the wind. The control scheme is tested for random variation of wind speed pattern and provides satisfactory results.Lire moins >
Lire la suite >The maximum power extraction algorithms for variable speed wind turbines subjected to a wide range of wind variation, unknown inputs disturbance and parameter uncertainties are discussed in this paper. The "Takagi-Sugeno (TS) fuzzy model system with parametric uncertainties is adopted for modelling the nonlinear Wind Energy Conversion System (WECS) and establishing unknown input fuzzy observers. Sufficient conditions are derived for robust stabilization in the sense of Taylor series stability. The problem is formulated and solved using a Fuzzy Linear Matrix Inequalities (FLMIs). The main contribution of this paper is summarized in two points: (i) the proposed fuzzy control and fuzzy observer are completely robust to the unknown inputs disturbance, a wide range of wind speed variations and parameter uncertainties; (ii) maximizes the power that is produced from the wind. The control scheme is tested for random variation of wind speed pattern and provides satisfactory results.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
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