Maximum power point tracking control for a doubly fed induction generator wind energy conversion system based on multivariable adaptive super-twisting approach

Abstract This paper aims to design a multivariable super-twisting control scheme of doubly-fed induction generator (DFIG) based wind energy conversion system (WECS) to achieve maximum power point tracking (MPPT). Considering the complexity of the structures and parameters of the nonlinear system, the adaptive algorithm is employed to suppress the parametric uncertainty and external perturbations effectively without the information of upper bounds in advance. The proposed controller is able to achieve smooth regulation of both active and reactive powers quantities to track the optimal powers in finite time. In addition, the novel Lyapunov function is constructed to proof the finite-time convergence of the system. The simulation is carried out by Matlab/Simulink software to verify the strong robustness and self-adaptation of the proposed method.