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

Yi Cheng Huang, Ying Hao Li

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)425-437
Number of pages13
JournalIntelligent Automation and Soft Computing
Volume19
Issue number3
DOIs
Publication statusPublished - 2013 Aug 1

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All Science Journal Classification (ASJC) codes

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

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