A fuzzy approach for actuator fault-tolerant control of Wind Energy Conversion Systems

This paper presents the novel Fuzzy Fault Tolerant Control (FFTC) of Wind Energy Conversion System (WECS) subject to actuator faults. The proposed algorithm combines the merits of: (i) The states of the closed-loop system will follow those of a user-defined stable reference model despite the presence of actuator faults; (ii) Maximizes the power coefficient for a fixed pitch variable speed wind turbines. The Takagi-Sugeno (TS) fuzzy model system with actuator faults is adopted for modelling the nonlinear dynamics of the WECS and establishing fuzzy state observer. 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 design technique is applied to a dynamic model of wind energy conversion system to illustrate the effectiveness of the proposed FFTC.