Design and experiment of iterative learning controller based on particle swarm optimization approach with new bounded constraints technique

Yi Cheng Huang, Yi Hao Li, Shu Ting Li

研究成果: Conference contribution

2 引文 斯高帕斯（Scopus）

摘要

This paper utilizes the Improved Particle Swarm Optimization (IPSO) with bounded constraints technique for adjusting the gains of a Proportional-Integral-Derivative (PID) and Iterative Learning Control (ILC) controllers. This study compares the conventional ILC-PID controller with proposed IPSO-ILC-PID controller. A cycloid trajectory for mimicking the real industrial motion profile is applied. Two system plants with nonminimum phase are numerically simulated. Proposed IPSO with bounded constraints technique is evaluated on one axis of linear synchronous motor (LSM) with a PC-based real time controller. Simulations and experiment results show that the proposed controller can reduce the error significantly after two iterations.

原文English
主出版物標題Innovation for Applied Science and Technology
頁面2233-2237
頁數5
DOIs
出版狀態Published - 2013 二月 20
事件2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 - Kaohsiung, Taiwan
持續時間: 2012 十一月 2 → 2012 十一月 6

出版系列

名字Applied Mechanics and Materials
卷284-287
ISSN（列印）1660-9336
ISSN（電子）1662-7482

Other

Other2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
國家Taiwan
城市Kaohsiung
期間12-11-02 → 12-11-06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

存取文件

指紋 深入研究「Design and experiment of iterative learning controller based on particle swarm optimization approach with new bounded constraints technique」主題。共同形成了獨特的指紋。

引用此