Fuzzy Sliding Mode Control of a wind energy conversion system

This paper presents a new robust control approach for a wind power conversion system based on a Doubly Fed Induction Generator (DFIG). The objective is to propose a control technique which, applied to the Generator side converter, can ensure a maximum extraction of wind energy. The studied control scheme combines the fractional sliding mode technique with the Takagi-Sugeno adaptive fuzzy systems. The resulting control laws improve the robustness and tracking performance of the considered system while eliminating the chattering problem of the conventional sliding control method. The system stability is demonstrated using the Lyapunov theory. Simulation results, obtained via MATLAB/Simulink, illustrate the effectiveness of the proposed approach.