Dynamic integral sliding mode control for maximum wind energy tracking of low wind speed wind turbines

Currently, the higher wind energy extraction efficiency and the lower load are desirable for the maximum power point tracking (MPPT) of wind turbines. However, for the existing control strategies, the higher MPPT efficiency is achieved with the increase of the load. Hence, a dynamic fuzzy integral sliding mode control method is proposed in this paper. This method employs the tracking error of power and its integration as the sliding surface and uses a fuzzy control method to design the parameter of the sliding mode controller, which can improve the MPPT efficiency and reduce the load simultaneously. Then, simulations on FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code are given to verify the effectiveness of this method.