Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning

Ming You Ma, Jen Ai Chao, Yi Cheng Huang

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

1 Citation (Scopus)

Abstract

This paper presents the application of an Improved Particle Swarm Optimization (IPSO) technique for adjusting the gains of a PID controller. Two system plants with heavily oscillatory and moderate oscillatory associated with time delay are simulated numerically. A cycloid signal for mimicking the real industrial motion profile is applied. PID control parameters tuned by IPSO and MATLAB toolbox are compared for step, trapezoid, and cycloid responses. Simulation results show the IPSO technique is very useful for parameters tuning and robust for plant control evaluated by integral absolute error between the positioning trajectory and the output response.

Original languageEnglish
Title of host publication3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Pages450-453
Number of pages4
DOIs
Publication statusPublished - 2010 Sep 3
Event2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 - Tainan, Taiwan
Duration: 2010 May 52010 May 7

Publication series

Name3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Volume1

Other

Other2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
CountryTaiwan
CityTainan
Period10-05-0510-05-07

Fingerprint

Machine tools
Particle swarm optimization (PSO)
Controllers
Three term control systems
MATLAB
Time delay
Tuning
Trajectories

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Ma, M. Y., Chao, J. A., & Huang, Y. C. (2010). Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning. In 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation (pp. 450-453). [5533768] (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation; Vol. 1). https://doi.org/10.1109/3CA.2010.5533768
Ma, Ming You ; Chao, Jen Ai ; Huang, Yi Cheng. / Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning. 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation. 2010. pp. 450-453 (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation).
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Ma, MY, Chao, JA & Huang, YC 2010, Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning. in 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation., 5533768, 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation, vol. 1, pp. 450-453, 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010, Tainan, Taiwan, 10-05-05. https://doi.org/10.1109/3CA.2010.5533768

Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning. / Ma, Ming You; Chao, Jen Ai; Huang, Yi Cheng.

3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation. 2010. p. 450-453 5533768 (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation; Vol. 1).

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

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AB - This paper presents the application of an Improved Particle Swarm Optimization (IPSO) technique for adjusting the gains of a PID controller. Two system plants with heavily oscillatory and moderate oscillatory associated with time delay are simulated numerically. A cycloid signal for mimicking the real industrial motion profile is applied. PID control parameters tuned by IPSO and MATLAB toolbox are compared for step, trapezoid, and cycloid responses. Simulation results show the IPSO technique is very useful for parameters tuning and robust for plant control evaluated by integral absolute error between the positioning trajectory and the output response.

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Ma MY, Chao JA, Huang YC. Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning. In 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation. 2010. p. 450-453. 5533768. (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation). https://doi.org/10.1109/3CA.2010.5533768