Improved Particle Swarm Optimization by Updating Constraints of PID Control for Real Time Linear Motor Positioning

Yi Cheng Huang, Ying Hao Li

研究成果: Article同行評審

摘要

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

原文English
頁(從 - 到)425-437
頁數13
期刊Intelligent Automation and Soft Computing
19
發行號3
DOIs
出版狀態Published - 2013 八月 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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