DocumentCode :
2732481
Title :
Optimization of Controller Parameters Based on the Improved Genetic Algorithms
Author :
Wang, Guicheng ; Zhang, Min ; Xu, Xinhe ; Jiang, Changhong
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
3695
Lastpage :
3698
Abstract :
Genetic algorithm with many performance indexes is proposed. It can seek an optimal application in the controller parameters. And the concrete implementation method of the improved genetic algorithm is discussed. In the improved genetic algorithm, the constructed formula of many performance indexes is also given and the aspects of formulation have been discussed. Genetic algorithm with many performance indexes has many representative ways, one of which is involved in simulation. The selection of the performance index has considered the coefficient of weight in order to display the importance of every performance index. Simulation results have proved new method have better parameter seek optimally ability than the genetic algorithm with single performance index
Keywords :
control system analysis; genetic algorithms; performance index; controller parameters optimization; fitness parameter; genetic algorithm; performance index; Automatic control; Control systems; Educational institutions; Evolution (biology); Genetic algorithms; Instruments; Optimal control; Performance analysis; Three-term control; Tuning; controller; fitness parameter; genetic algorithms; optimizing; tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713060
Filename :
1713060
Link To Document :
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