DocumentCode
3480795
Title
Applications of immune genetic algorithm in frequency speed control pumping station
Author
Wang, Jin ; Wang, Hui ; Zhang, Hong ; Meng, Xing-Ping
Author_Institution
Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China
fYear
2009
fDate
5-7 Aug. 2009
Firstpage
1203
Lastpage
1207
Abstract
Circulating cooling water system of high speed wire factory was in trouble for pumps working in higher energy consumption and lower efficiency. The paper analyzed the characteristic of speed water pump. Mathematical model was established with the optimized goal of the lowest energy consumption and it simplified inequality constraint conditions. Immune genetic algorithm (IGA) to handle constrained problems was proposed. It simplified handling constraint condition and the premature convergence of genetic algorithm, which made handling constraint problem easier and improved the global search ability of the algorithm. Simulation results show that it is an effective algorithm to solving optimal problem of frequency speed control pumps in water circulating system.
Keywords
frequency control; genetic algorithms; pumping plants; velocity control; water supply; circulating cooling water system; energy consumption; frequency speed control pumping station; global search ability; handling constraint problem; immune genetic algorithm; wire factory; Constraint optimization; Cooling; Energy consumption; Frequency; Genetic algorithms; Mathematical model; Production facilities; Velocity control; Water; Wire; Circulating cooling water system; Immune genetic algorithm; Intelligent Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-4794-7
Electronic_ISBN
978-1-4244-4795-4
Type
conf
DOI
10.1109/ICAL.2009.5262680
Filename
5262680
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