A Fuzzy Approach for Sensor Fault-Tolerant Control of Wind Energy Conversion Systems.
Résumé
This paper presents the robust fuzzy fault tolerant control (FFTC) for nonlinear wind energy conversion systems (WECS) in the presence of bounded sensor faults and the state variable unavailable for measurement based on Takagi-Sugeno (TS) fuzzy model. Sufficient conditions are derived for robust stabilization in the sense of Lyapunov asymptotic stability and are formulated in the format of linear matrix inequalities (LMIs). The closed-loop system will follow those of a userdefined stable reference model in the presence of bounded sensor faults. The effectiveness of the proposed fuzzy fault tolerant controller and fuzzy observer design methodology is finally demonstrated through simulations on the WECS.