Intelligent Sliding Mode Control based on optimized PID by DE Algorithm for wind turbine System

Abstract

The contribution presented in this paper focuses on the application of the differential evolution algorithm for an optimal surface of the sliding mode control applied to a speed wind turbine system The differential evolution algorithm is used in order to adjust optimally the parameters of the modified surface of sliding mode control, in this study we choose a PID type to overcome the problem of static error and exceeding the set point, the integral and derivative terms are included to improve the sliding surface which guarantees a maximum wind power extraction in the presence of the nonlinear dynamics and uncertainties. The proposed method is compared with the conventional SMC and PID-SMC; the simulations results show good performance in terms of stabilization time as well as in terms of pursuit.