A Synchronous Drive Control Scheme Based on Neural Networks for a Novel XY-table

摘要：

High performance XY-table is commonly incorporated into IC manufacturing and packaging equipments. In order to achieve higher acceleration, a novel XY positioning table synchronously driven by one-side dual linear motors is proposed. The redundant drive system commonly suffers from synchronous drive precision problem at high speed and acceleration rates. In this paper, the dynamic model of dual linear motors redundant drive system along X-axis direction is given, and synchronous drive precision can be assured by using a synchronous control scheme. This scheme has two model reference adaptive controllers and a synchronous error compensator based on neural networks. Simulation results are provided to manifest the control system has better static and dynamic performance and higher synchronous drive precision at a morn than 10g (g=9.81m/s2) high acceleration profile motion.

关键词： neural networks error compensator synchronous drive robustness

作者: Jing Chen Qiang Liu Chang Qi

作者单位: School of Mechanical Engineering and Automation Beihang University Beijing, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）