The Permanent Magnet Synchronous Linear Motor Position Control Based on Fuzzy Neural Network

Abstract

A position servo control system based on fuzzy neural network (FNN) is proposed to make the permanent magnet synchronous linear motor(PMLSM) to track the given locus precisely. In the proposed system, Back-Propagation (BP) neural network algorithm based on dynamic structure is employed to change the nodes of hidden layer in learning process and improve the system control effect. The experimental results show the position servo system has a small overshot and good position precision.