Fault Diagnosis Based on Fuzzy Observers for Wind Energy Conversion Systems

Elkhatib Kamal (1) , Abdel Aitouche (1) , Mireille Bayart (1)

1 STF - Systèmes Tolérants aux Fautes

This paper addresses the design of fault diagnosis for Wind Energy Conversion System (WECS). In this approach, the residual signal is generated by a fuzzy observer which is based on Takagi-Sugeno (TS) fuzzy models based on Lyapunov function. The approach presented takes into account the stability and design of non-linear fuzzy inference systems based also on TS fuzzy models. The paper derives the necessary conditions for the assignability of eigenvalues to a region in the s-plane and the necessary conditions to guarantee the stability of fuzzy models. The problem is solved via the Linear Matrix Inequalities (LMI) method. The proposed TS observer is used for detection and isolation of faults which can affect a TS model. The proposed methodology is illustrated by estimating the speed of blades, speed of generator and the diagnosis fault of WECS.

Domaines: Automatique / Robotique

Elkhatib Kamal, Abdel Aitouche, Mireille Bayart. Fault Diagnosis Based on Fuzzy Observers for Wind Energy Conversion Systems. nternational Conference on Renewable Energy and Eco-Design in Electrical engineering:, Mar 2011, Lille, France. pp.1-8. ⟨hal-00804062⟩