Robust Fuzzy Logic Control of Wind Energy Conversion Systems with Unknown Inputs

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

Document type :

Article dans une revue scientifique

DOI :

10.2316/Journal.203.2012.2.203-4913

Title :

Robust Fuzzy Logic Control of Wind Energy Conversion Systems with Unknown Inputs

Author(s) :

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

Systèmes Tolérants aux Fautes [STF]

Journal title :

International Journal of Power and Energy Systems

Pages :

71-81

Publisher :

ACTA Press

Publication date :

2012-02-01

ISSN :

1078-3466

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL

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