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.
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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
T2 - 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
Y2 - 5 May 2010 through 7 May 2010
ER -