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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationCommunication Systems and Information Technology - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011
Pages515-523
Number of pages9
EditionVOL. 4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 International Conference on Electric and Electronics, EEIC 2011 - Nanchang, China
Duration: 2011 Jun 202011 Jun 22

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 4
Volume100 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2011 International Conference on Electric and Electronics, EEIC 2011
CountryChina
CityNanchang
Period11-06-2011-06-22

Fingerprint

Linear motors
Three term control systems
Particle swarm optimization (PSO)
Synchronous motors
Control systems
Controllers
Computer simulation

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Li, Y. H., Huang, Y-C., & Chao, J. A. (2011). Improved particle swarm optimization by updating constraints of PID control for real time linear motor positioning. In Communication Systems and Information Technology - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011 (VOL. 4 ed., pp. 515-523). (Lecture Notes in Electrical Engineering; Vol. 100 LNEE, No. VOL. 4). https://doi.org/10.1007/978-3-642-21762-3_67
Li, Ying Hao ; Huang, Yi-Cheng ; Chao, Jen Ai. / Improved particle swarm optimization by updating constraints of PID control for real time linear motor positioning. Communication Systems and Information Technology - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011. VOL. 4. ed. 2011. pp. 515-523 (Lecture Notes in Electrical Engineering; VOL. 4).
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Li, YH, Huang, Y-C & Chao, JA 2011, Improved particle swarm optimization by updating constraints of PID control for real time linear motor positioning. in Communication Systems and Information Technology - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011. VOL. 4 edn, Lecture Notes in Electrical Engineering, no. VOL. 4, vol. 100 LNEE, pp. 515-523, 2011 International Conference on Electric and Electronics, EEIC 2011, Nanchang, China, 11-06-20. https://doi.org/10.1007/978-3-642-21762-3_67

Improved particle swarm optimization by updating constraints of PID control for real time linear motor positioning. / Li, Ying Hao; Huang, Yi-Cheng; Chao, Jen Ai.

Communication Systems and Information Technology - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011. VOL. 4. ed. 2011. p. 515-523 (Lecture Notes in Electrical Engineering; Vol. 100 LNEE, No. VOL. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Li YH, Huang Y-C, Chao JA. Improved particle swarm optimization by updating constraints of PID control for real time linear motor positioning. In Communication Systems and Information Technology - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011. VOL. 4 ed. 2011. p. 515-523. (Lecture Notes in Electrical Engineering; VOL. 4). https://doi.org/10.1007/978-3-642-21762-3_67