Application of genetic algorithms to motor parameter determination

Author

Nolan, R. ; Pillay, P. ; Haque, T.

Author_Institution

Dept. of Electr. Eng., New Orleans Univ., LA, USA

fYear

1994

fDate

2-6 Oct 1994

Firstpage

47

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

digital simulation; electric machine analysis computing; genetic algorithms; induction motors; load (electric); machine theory; parameter estimation; power factor; starting; torque; transient analysis; Newton-Raphson method; breakdown torque; computer simulation; full load power factor; full load torque; genetic algorithms; induction motor; machine transients; parameter determination; starting torque; Data mining; Electric breakdown; Genetic algorithms; Induction machines; Manufacturing; Newton method; Power system reliability; Power system transients; Reactive power; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Society Annual Meeting, 1994., Conference Record of the 1994 IEEE

Conference_Location

Denver, CO

Print_ISBN

0-7803-1993-1

Type

conf

DOI

10.1109/IAS.1994.345500

Filename

345500