• DocumentCode
    1715834
  • Title

    Numerical Parameter Estimation Procedure for Three Phase Induction Motor Models

  • Author

    Stefopoulos, George K. ; MelioPoulos, A. P Sakis

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2007
  • Firstpage
    1111
  • Lastpage
    1116
  • Abstract
    This paper concentrates on the implementation of an analytically-based identification procedure of three phase induction motor models, for steady-state and quasi-steady-state analysis. The mathematical model of the motor is based on the use of linear and quadratic equations, reducing therefore the system nonlinearity to at most second degree. The model optionally includes slip-dependent rotor parameters, allowing therefore a unified and accurate representation of every possible motor design (NEMA designs A, B, C and D). The parameter estimation methodology allows the motor model identification using the slip-torque and slip-current motor characteristic. The estimation procedure is demonstrated with some simple numerical examples.
  • Keywords
    induction motors; mathematical analysis; parameter estimation; analytically-based identification procedure; linear equations; mathematical model; motor model identification; numerical parameter estimation procedure; quadratic equations; quasi-steady-state analysis; slip-current motor characteristic; slip-dependent rotor parameters; slip-torque motor characteristic; steady-state analysis; three phase induction motor models; Computational intelligence; Induction motors; Industrial power systems; Least squares approximation; Parameter estimation; Performance evaluation; Power system analysis computing; Power system dynamics; Power system modeling; Testing; Induction motor model; Least squares estimation; Parameter estimation; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538471
  • Filename
    4538471