• DocumentCode
    2347664
  • Title

    A model based stator resistance estimation technique in the low speed region for sensor less field oriented control of induction motor

  • Author

    Chatterjee, Debashis ; Nag, Tridibesh

  • Author_Institution
    Dept. of EE, Jadavapur Univ., Kolkata
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    2084
  • Lastpage
    2088
  • Abstract
    Rotor speed estimation technique for the purpose of induction motor speed control without speed sensors has been the research topic for quite a few years. Various schemes are available for this purpose. However, the parameter variation problem, particularly near zero speed imposes a challenge in the speed estimation. In this paper, a model-based technique is introduced to estimate the stator resistance while measuring the instantaneous angular displacement of stator current vector from the stator voltage vector. The proposed technique uses inverse-Gamma model equivalent circuit of the machine. This technique dynamically computes the stator resistance in the low frequency region in order to make the control less sensitive to parameter variation problem. Simulation results based on this technique are given which are also verified by experimental results.
  • Keywords
    induction motors; machine vector control; rotors; stators; velocity control; induction motor; instantaneous angular displacement; inverse-Gamma model equivalent circuit; model based stator resistance estimation; parameter variation problem; rotor speed estimation; sensorless field oriented control; speed control; Current measurement; Displacement measurement; Electrical resistance measurement; Equivalent circuits; Frequency; Induction motors; Rotors; Stators; Velocity control; Voltage; Speed sensor less vector control; rotor flux; speed estimator; stator resistance estimator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582887
  • Filename
    4582887