DocumentCode
2366907
Title
Genetic algorithms for control of power converters
Author
Schutten, Michael J. ; Torrey, David A.
Author_Institution
Gen. Electr. Corp. Res. & Dev. Center, Schenectady, NY, USA
Volume
2
fYear
1995
fDate
18-22 Jun 1995
Firstpage
1321
Abstract
This paper evaluates genetic algorithms (GAs) as a new nonlinear technique for the control of power converters. Genetic algorithms are a class of parallel processing learning techniques. They are used to optimize power converter control laws relative to a performance index. An example using a full-bridge topology verifies the usefulness of this technique
Keywords
bridge circuits; circuit analysis computing; control system analysis computing; digital simulation; genetic algorithms; nonlinear control systems; optimal control; power convertors; power engineering computing; voltage control; computer simulation; control laws; full-bridge topology; genetic algorithms; learning techniques; nonlinear control; parallel processing; performance index; power converters; voltage regulation; Aggregates; Biological cells; Cost function; Genetic algorithms; Genetic mutations; Power semiconductor switches; Reactive power; Resonance; Switching converters; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics Specialists Conference, 1995. PESC '95 Record., 26th Annual IEEE
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-2730-6
Type
conf
DOI
10.1109/PESC.1995.474985
Filename
474985
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