• DocumentCode
    1495542
  • Title

    Parameter identification of induction motor model using genetic algorithms

  • Author

    Alonge, F. ; D´Ippolito, Filippo ; Ferrante, G. ; Raimondi, F.M.

  • Author_Institution
    Inst. di Autom. e Sistemistica, Palermo Univ., Italy
  • Volume
    145
  • Issue
    6
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    587
  • Lastpage
    593
  • Abstract
    The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms. It is supposed that the inverter supplying the motor is directly accessible for control of the conduction sequences of its power switches. This makes it possible to carry out a test consisting of a transient from standstill to steady-state operation at a given frequency and successive free motion to standstill. During this test, data are acquired referring to stator voltage, current and rotor speed. Then, a genetic algorithm is employed with the aim of determining the mechanical and electrical parameters of the model, so as to reproduce the input-output behaviour of a real open-loop system
  • Keywords
    genetic algorithms; induction motors; machine theory; parameter estimation; genetic algorithms; induction motor; inverter; machine model; open-loop system; parameter identification; rotor speed; stator current; stator voltage;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19982408
  • Filename
    756371