A Fuzzy-Wavelet-Network-Based Position Control for PMSM

A robust position controller with variable structure control (VSC) and dynamic recurrent fuzzy wavelet network (DRFWN) technique for permanent magnet synchronous motor (PMSM) is presented in this paper. Based on the VSC method, the closed-loop system can system dynamics with an invariance property to uncertainties. However, the sliding controller based the assumption of known uncertainty bounds often cause the chattering phenomena in the control system. DRFWN identification with adaptive learning rates is implemented to evaluate the uncertainty bounds of PMSM which are caused by the variable of system parameters and the external load disturbance. The performance of the proposed drive is investigated both in experiment and simulation at different condition