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 | |
| 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
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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
TY - GEN
T1 - Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning
AU - Ma, Ming You
AU - Chao, Jen Ai
AU - Huang, Yi Cheng
PY - 2010/9/3
Y1 - 2010/9/3
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=77956107110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956107110&partnerID=8YFLogxK
U2 - 10.1109/3CA.2010.5533768
DO - 10.1109/3CA.2010.5533768
M3 - Conference contribution
AN - SCOPUS:77956107110
SN - 9781424455669
T3 - 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
SP - 450
EP - 453
BT - 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
ER -