DocumentCode :
319294
Title :
Genetic algorithm based control for power converters
Author :
Baba, J. ; Masada, E.
Author_Institution :
Tokyo Univ., Japan
Volume :
1
fYear :
1997
fDate :
3-6 Aug 1997
Firstpage :
463
Abstract :
In the present study, the authors propose a new adaptive control scheme for power converters, based on a novel genetic algorithms (GA) method. Using a simple circuit structure which contains an AC sinusoidal voltage source and two converters, the control scheme and gene structure have been considered. The optimum GA parameters have been determined from some simulations. Various power convertor loads cases have been tested by simulations. As a result, it is found that the GA controller can adapt to changing environments when one controller controls two power converters. It can thus be concluded that the GA controller is able to work in an adaptive manner
Keywords :
adaptive control; control system analysis; control system synthesis; genetic algorithms; optimal control; power convertors; voltage control; AC sinusoidal voltage source; adaptive control scheme; changing environments; control design; control simulation; gene structure; genetic algorithm-based control; load variations; optimal voltage control; power converters; Adaptive control; Circuit simulation; Circuit testing; Fluctuations; Genetic algorithms; Genetic mutations; Parallel processing; Power systems; Programmable control; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Conversion Conference - Nagaoka 1997., Proceedings of the
Conference_Location :
Nagaoka
Print_ISBN :
0-7803-3823-5
Type :
conf
DOI :
10.1109/PCCON.1997.645655
Filename :
645655
Link To Document :
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