The objective of this study is to simulate the nonlinear systems by using the robust fuzzy controller. This method constitutes a robust tool enough to stabilize a nonlinear system with parametric uncertainties and the wind disturbance. The considered systems are Takagi-Sugeno type characterized by a nonlinear representation. This algorithm uses the local models of the system, obtained around operating points established by human expertise in the form of rules IF-THEN type. It is developed as shown by the model relative to the wind energy systems having a double-fed induction generator (DFIG) which is considered to illustrate the effectiveness of the proposed method. Hence, the proposed algorithm maximizes power output and ensures the stability of the system in term of the parameter uncertainties and to show it performances, results obtained by retained algorithm are compared to those obtained by the proportional integral (PI) controller algorithm.

Keywords: Wind turbine, Double fed induction generator (DFIG), Takagi Sugeno (TS) fuzzy controller, Parameters uncertainties