DocumentCode
1325992
Title
Application of genetic algorithms to motor parameter determination for transient torque calculations
Author
Pillay, Pragasen ; Nolan, Ray ; Haque, Towhidul
Author_Institution
Dept. of Electr. Eng., New Orleans Univ., LA, USA
Volume
33
Issue
5
fYear
1997
Firstpage
1273
Lastpage
1282
Abstract
This paper applies genetic algorithms to the problem of induction motor parameter determination. Generally available manufacturers´ published data like starting torque, breakdown torque, full-load torque, full-load power factor, etc., are used to determine the motor parameters for subsequent use in studying machine transients. Results from several versions of the genetic algorithm are presented, as well as a comparison with the Newton-Raphson method
Keywords
genetic algorithms; induction motors; machine theory; parameter estimation; starting; torque; transient analysis; Newton-Raphson method; breakdown torque; full-load power factor; full-load torque; genetic algorithms; induction motor; motor parameter determination; starting torque; transient torque calculations; Data mining; Electric breakdown; Genetic algorithms; Induction motors; Industry Applications Society; Parameter estimation; Power system transients; Reactive power; Testing; Torque;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/28.633806
Filename
633806
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