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

Content Provider	IEEE Xplore Digital Library
Author	Ming-You Ma Jen-Ai Chao Yi-Cheng Huang
Copyright Year	2010
Description	Author affiliation: Department of Mechahonics Engineering, National Changhua University of Education, Changhua, Taiwan (Ming-You Ma; Yi-Cheng Huang) \|\| Chienkuo Technology University Changhua, Taiwan (Jen-Ai Chao)
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.
Starting Page	450
Ending Page	453
File Size	422603
Page Count	4
File Format	PDF
ISBN	9781424455652
e-ISBN	9781424455683
DOI	10.1109/3CA.2010.5533768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-05
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control PID Controller Three-term control Delay effects Numerical simulation Electrical equipment industry Machine tools Error correction Improved Particle Swarm Optimization Particle swarm optimization MATLAB Tuning
Content Type	Text
Resource Type	Article

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