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

Ming You Ma; Jen Ai Chao; Yi Cheng Huang

doi:10.1109/3CA.2010.5533768

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

Ming You Ma, Jen Ai Chao, Yi Cheng Huang

Department of Mechatronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Pages	450-453
Number of pages	4
DOIs	https://doi.org/10.1109/3CA.2010.5533768
Publication status	Published - 2010 Sep 3
Event	2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 - Tainan, Taiwan Duration: 2010 May 5 → 2010 May 7

Publication series

Name	3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Volume	1

Other

Other	2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
Country	Taiwan
City	Tainan
Period	10-05-05 → 10-05-07

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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

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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.",

author = "Ma, {Ming You} and Chao, {Jen Ai} and Huang, {Yi Cheng}",

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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 proceeding › Conference 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

Access to Document

10.1109/3CA.2010.5533768