NDLI: Optimization design based on PSO algorithm for PID controller

Content Provider	IEEE Xplore Digital Library
Author	Yijian Liu Jianming Zhang Shuqing Wang
Copyright Year	2004
Description	Author affiliation: Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China (Yijian Liu; Jianming Zhang; Shuqing Wang)
Abstract	The particle swarm optimization (PSO) algorithm for parameter optimization of PID controller has been proposed. PSO is an evolutionary algorithm, and comprises of a very simple concept. Instead of using traditional analysis algorithm, the parameters of PID controller such as proportional gain, integral factor, differential coefficient are selected and optimized by PSO. The effectiveness of the proposed optimization algorithm is tested by simulation experiments in the common one-order and two-order industrial models. The simulation shows excellent results in terms of response time and output overshoot for a step reference. The PSO approach provides an attractive method to design the parameters of a PID controller.
Sponsorship	Zhejian Univ. Nat. Lab. of Ind. Control Technol. IEEE Robotics and Automation Soc. Nat. Natural Sci. Found. of China Chinese Assoc. of Automation
Starting Page	2419
Ending Page	2422
File Size	226011
Page Count	4
File Format	PDF
ISBN	0780382730
DOI	10.1109/WCICA.2004.1342028
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Design optimization Algorithm design and analysis Three-term control Particle swarm optimization Evolutionary computation Pi control Proportional control Testing Delay Design methodology
Content Type	Text
Resource Type	Article

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