• DocumentCode
    1555003
  • 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
  • Volume
    14
  • Issue
    3
  • fYear
    1999
  • fDate
    9/1/1999 12:00:00 AM
  • Firstpage
    447
  • Lastpage
    453
  • 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;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.790895
  • Filename
    790895