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
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;
Journal_Title :
Industry Applications, IEEE Transactions on
