Improved particle swarm optimization by updating constraints of PID control for real time linear motor positioning

Ying Hao Li, Yi-Cheng Huang, Jen Ai Chao

研究成果: Conference contribution

摘要

This paper proposes an Improved Particle Swarm Optimization (IPSO) technique for adjusting the gains of a PID controller. The new approach introduces particle space constraints so as to improve the performance of velocity updating and position updating capability. Numerical simulations and experimental results based on PID, PSO-PID and IPSO-PID control systems are compared. Real time experimental results show that the proposed IPSO algorithm has great computational convergence and ensure the stability of the controlled system without the strict constraints on the updating velocity. Tests on the linear synchronous motor (LSM) via the digital signal Microchip (dsPIC) processor demonstrate effectiveness and robustness in positioning with disturbance excitation.

原文English
主出版物標題Communication Systems and Information Technology - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011
頁面515-523
頁數9
版本VOL. 4
DOIs
出版狀態Published - 2011 十二月 1
事件2011 International Conference on Electric and Electronics, EEIC 2011 - Nanchang, China
持續時間: 2011 六月 202011 六月 22

出版系列

名字Lecture Notes in Electrical Engineering
號碼VOL. 4
100 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other2011 International Conference on Electric and Electronics, EEIC 2011
國家China
城市Nanchang
期間11-06-2011-06-22

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

指紋 深入研究「Improved particle swarm optimization by updating constraints of PID control for real time linear motor positioning」主題。共同形成了獨特的指紋。

引用此