DocumentCode :
1798431
Title :
Two-loop PID control using PSO-RGA algorithm for solar heat pumps
Author :
Ching-Chih Tsai ; Kuei-I Tsai ; Shen-Chang Hsu ; Shun-Feng Su
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
Volume :
2
fYear :
2014
fDate :
13-16 July 2014
Firstpage :
728
Lastpage :
733
Abstract :
In this paper, a two-loop PID (proportional integral derivative) controller is presented for a class of solar water-source heat pump systems (SWSHPS), which provide warm water with desired temperature for a semiconductor factory. A combination of the well-known particle swarm optimization (PSO) and real-coded genetic algorithm (RGA) is proposed to off-line optimally find the controller parameters of the proposed control law. Through simulations, the two-loop PID control strategy is shown to be effective and robust against parameter variations. By comparing with two existing two-loop PID control strategies, the proposed two-loop PID controller, tuned by the new PSO-RGA algorithm, is shown to give superior transient performance, smaller steady-state errors and better robustness against parameter variations.
Keywords :
genetic algorithms; heat pumps; particle swarm optimisation; robust control; solar heating; three-term control; transients; PSO; PSO-RGA algorithm; SWSHPS; particle swarm optimization; proportional integral derivative controller; real-coded genetic algorithm; semiconductor factory; solar water-source heat pump system; steady-state error; transient performance; two-loop PID control; Abstracts; Heat pumps; Robustness; Solar heating; PID control; Real-coded Genetic algorithm(RGA); Solar water-source heat pump system (SWSHPS); particle swarm optimization (PSO); temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
ISSN :
2160-133X
Print_ISBN :
978-1-4799-4216-9
Type :
conf
DOI :
10.1109/ICMLC.2014.7009700
Filename :
7009700
Link To Document :
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