A Compound Control for PMSM Based on Fuzzy Sliding-mode and Neural Network

Permanent magnet synchronous motor (PMSM) system has many characteristics such as nonlinearity, time-varying parameters and complex modeling. PMSM system is required to become quick response and insensitivity to the variation of parameters and disturbance especially in the electric vehicle. In order to solve the problems, this paper presents a new compound control method containing fuzzy control, sliding-mode variable structure control and neural network control. The effectiveness of the proposed controller is demonstrated by MATLAB/SIMULINK. The result shows that this scheme has not only excellent dynamics and steady-state performance but also excellent robustness to external disturbance.