Integral Fuzzy Sliding Mode Control for Variable Speed Wind Power System

An integral fuzzy sliding mode control method is proposed for control objects with uncertain parameters and force disturbances in this paper. An auxiliary function is selected to overcome the strict constraint of model format in conventional sliding mode control, and an integral control is introduced to eliminate the assumption that the derivative of desired signal must be known. A fuzzy inference mechanism is used to estimate the lumped uncertainty. The sign function of the switching surface is replaced by a proper continuous function to eliminate the system chattering. The proposed method is applied to generator speed tracking control of a large-scale variable speed wind power system. Simulation results indicate that the control method has good tracking performance and strong robustness for parameter variations and external disturbances.