Tracking control of a belt-driven position table using Fourier series based learning control scheme

被引：0

作者：

Yang, Z ^{[1
]}

Cai, LL ^{[1
]}

机构：

[1] Hong Kong Univ Sci & Technol, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present the application of Fourier series based learning control scheme combined with backlash compensation for tracking control of a belt-driven position table. Because of the flexible structure and a low bandwidth, belt-driven systems are very difficult to control by using conventional methods. We have shown experimentally that the proposed scheme is very effective and easy to be implemented without any knowledge about system structure and parameters. We believe that this method can be applied to other unknown complex systems.

引用

页码：196 / 201

页数：6

共 10 条

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