• DocumentCode
    2468033
  • Title

    Parameter characterisation of a doubly-fed induction machine using series-coupling and IEEE Std.112 test methods

  • Author

    Cashman, David P ; Hayes, John G. ; Egan, Michael G.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Coll. Cork, Cork
  • fYear
    2008
  • fDate
    15-19 June 2008
  • Firstpage
    3836
  • Lastpage
    3842
  • Abstract
    The use of the doubly-fed induction machine variable speed ac drives has increased in recent years and this has led to an increased interest in obtaining an accurate equivalent circuit model for the machine. This paper presents a novel method for characterising a doubly-fed induction machine and compares the results with IEEE Standard 112. The method comprises the open-circuit stator, the open-circuit rotor and series-coupling tests to characterise the machine. Initially, the conventional IEEE Standard 112 testing procedures are reviewed and used to characterise the machine. The series-coupling tests are then presented, and are shown to allow for a more direct method of measuring the resistive and inductive components of the machine. An extended short-circuit test is used as a further test procedure to generate a machine model. The various models are validated by comparing the model predictions with the experimental torque-speed curve. Of all the models the series-coupling test models perform best and correlate well with the measured results.
  • Keywords
    IEEE standards; asynchronous machines; drives; equivalent circuits; rotors; stators; IEEE Std.112 test methods; doubly-fed induction machine; equivalent circuit model; extended short-circuit test; inductive components; machine model; open-circuit rotor; open-circuit stator; parameter characterisation; resistive components; series-coupling; torque-speed curve; variable speed ac drives; Circuit testing; Computational modeling; Educational institutions; Equivalent circuits; Finite element methods; Induction machines; Measurement standards; Performance evaluation; Predictive models; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 2008. PESC 2008. IEEE
  • Conference_Location
    Rhodes
  • ISSN
    0275-9306
  • Print_ISBN
    978-1-4244-1667-7
  • Electronic_ISBN
    0275-9306
  • Type

    conf

  • DOI
    10.1109/PESC.2008.4592553
  • Filename
    4592553