Permanent Magnet Synchronous Motor Speed Control Using Chattering Free Sliding Mode Control and RBF Neural Network

Abstract

This paper proposes a full order terminal sliding mode (FOTSM) control scheme for the speed loop in the permanent magnet synchronous motor (PMSM) servo system. Firstly, to overcome the chattering problem of the sliding mode control, the full order sliding mode control scheme is proposed for speed control of PMSM system. Then, novel adaptive FOTSM control scheme is designed based on the RBF neural network. The radial based function (RBF) neural network is used to estimate the disturbances. The proposed controller requires no prior knowledge about the dynamics of the PMSM servo system and no off-line learning phase. Lyapunov stability analysis and MATLAB simulation results indicate the superiority of the proposed method.