• DocumentCode
    3456100
  • Title

    Reduced-order representation of the deep-rotor-bar phenomena in induction machines

  • Author

    Chiniforoosh, S. ; Atighechi, H. ; Jatskevich, Juri

  • Author_Institution
    Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    To accurately model the deep-rotor-bar phenomena in squirrel-cage induction machines for a wide range of frequencies, the distributed rotor may be generally represented as a high-order transfer function or an equivalent lumped-parameter ladder network. However, when lower-frequency electromechanical transients are of interest, an effective reduced-order model, in which a single-branch rotor resistance is changed as a function of rotor speed, can take these effects into account without increasing the model complexity and order. In this paper, the reduced- and high-order formulations are compared with the classic models and experimental results. It is found that the proposed reduced-order model provides very good accuracy for predicting low-frequency dynamics. This model can be particularly useful for studying larger systems composed of a number of electromechanical subsystems.
  • Keywords
    lumped parameter networks; rotors; squirrel cage motors; deep-rotor-bar phenomena; electromechanical subsystems; equivalent lumped-parameter ladder network; high-order transfer function; low-frequency dynamics; lower-frequency electromechanical transients; reduced-order representation; rotor speed; single-branch rotor resistance; squirrel-cage induction machines; Integrated circuit modeling; Mathematical model; Predictive models; Resistance; Rotors; Torque; Transient analysis; deep-rotor-bar effect; induction machine; low-frequency dynamics; transient model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030602
  • Filename
    6030602