• DocumentCode
    330414
  • Title

    Parameter identification of a mathematical model of induction motors via least squares techniques

  • Author

    Alonge, F. ; Ippolito, F.D. ; La Barbera, S. ; Raimondi, F.M.

  • Author_Institution
    Ist. di Autom. e Sistemistica, Palermo Univ., Italy
  • Volume
    1
  • fYear
    1998
  • fDate
    1-4 Sep 1998
  • Firstpage
    491
  • Abstract
    This paper deals with off-line identification of electrical and mechanical parameters of induction motors, using least square techniques. Two stator currents, three stator voltages and speed are acquired during an experimental test consisting of a start transient up to steady state and a stop transient from steady state to standstill. For identification, the acquired signals and their derivatives are filtered by means of digital anti-causal filters. The input-output behaviour obtained by means of simulation using the mathematical model with estimated parameters is compared with that detected experimentally with the aim of showing the validity of the approach described
  • Keywords
    digital filters; filtering theory; induction motors; least squares approximations; machine theory; parameter estimation; stators; digital filters; filtering; identification; induction motors; least squares method; mathematical model; parameter estimation; stator currents; stator voltages; transients; Digital filters; Induction motors; Least squares methods; Mathematical model; Parameter estimation; Signal processing; Stators; Steady-state; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Trieste
  • Print_ISBN
    0-7803-4104-X
  • Type

    conf

  • DOI
    10.1109/CCA.1998.728497
  • Filename
    728497