Title :
Evolutionary algorithms for induction motor parameter determination
Author :
Nangsue, Phaderm ; Pillay, Pragasen ; Conry, Susan E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA
fDate :
9/1/1999 12:00:00 AM
Abstract :
This paper demonstrates the applicability of evolutionary algorithms to the problem of motor parameter determination. Motor parameter determination problems can range from high accuracy requirement for motor controlled drives to low accuracy requirements for system studies. The latter problem is addressed here, using both the genetic algorithm and genetic programming. Comparative results are presented
Keywords :
genetic algorithms; induction motors; machine theory; mathematical programming; parameter estimation; accuracy requirement; evolutionary algorithms; genetic algorithm; genetic programming; induction motor parameter determination; motor controlled drives; system studies; Control systems; Evolutionary computation; Genetic algorithms; Genetic programming; Induction motors; Machinery; Manufacturing; Nonlinear equations; Torque; Wheels;
Journal_Title :
Energy Conversion, IEEE Transactions on