Fault Tolerant Control of Wind Energy System subject to actuator faults and time varying parameters

In this paper we propose the Robust Fault Tolerant Control (RFTC) for Wind Energy System (WES) subject to actuator faults and time-varying bounded parameter uncertainties. The algorithm utilizes fuzzy systems based on “Takagi-Sugeno” (TS) fuzzy models to represent nonlinear systems. 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 proposed algorithm is able to maintain the system stable during the actuator faults and parameter uncertainties. The design technique is applied to a dynamic model of wind energy system to illustrate the effectiveness of the proposed RFTC.