DocumentCode
1302348
Title
Application of genetic algorithms to the online tuning of electric drive speed controllers
Author
da Silva, Wander G. ; Acarnley, Paul P. ; Finch, John W.
Author_Institution
Dept. de Ciencias da Engenharia, Inst. Superior de Ensino e Pesquisa de Inst., Brazil
Volume
47
Issue
1
fYear
2000
fDate
2/1/2000 12:00:00 AM
Firstpage
217
Lastpage
219
Abstract
Tuning of electric drive speed controllers is complicated by nonlinearities. Usual practice obtains controller settings with conventional linear analysis methods and then tunes the settings using trial-and-error methods during commissioning. An alternative approach, using genetic algorithms for the online tuning, is proved experimentally to optimize the drive´s response efficiently. These settings are critically dependent on operating point
Keywords
control system synthesis; electric drives; genetic algorithms; machine control; machine testing; machine theory; optimal control; tuning; velocity control; control design; control performance; electric drive; genetic algorithms; online speed controller tuning; response optimisation; Biological cells; Brushless DC motors; Control nonlinearities; DC motors; Electronic equipment testing; Genetic algorithms; Pi control; Proportional control; Velocity control; Voltage control;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/41.824145
Filename
824145
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