Adaptive Fuzzy Variable Structure Control for Permanent Magnet Linear Servo System

Abstract

In order to improve the immunity of AC permanent magnet linear servo system to parameter perturbation, end effect and load resistance, an intelligent sliding mode variable structure control scheme based on adaptive neuro-fuzzy inference system ANFIS is proposed. The adaptive neuro-fuzzy inference system ANFIS is introduced into the traditional sliding mode variable structure control to weaken the inherent chattering of sliding mode control and eliminate the end effect of permanent magnet linear synchronous motor. The simulation and experimental results show that the intelligent sliding mode variable structure control method based on ANFIS is simple, has good dynamic performance and good robustness.