• DocumentCode
    1353650
  • Title

    Adaptive on-line flux estimation in field-oriented control of an IM

  • Author

    Sathiakumar, S. ; Betz, R.E. ; Evans, R.J.

  • Author_Institution
    Newcastle Univ., NSW, Australia
  • Volume
    27
  • Issue
    4
  • fYear
    1991
  • fDate
    7/1/1991 12:00:00 AM
  • Firstpage
    640
  • Lastpage
    645
  • Abstract
    An adaptive technique for the online estimation of the rotor field vector to use as a feedback for the field-oriented control of an induction machine (IM) is described. This method makes use of the stator voltage and rotor speed measurements. It uses the least square estimation technique for identifying the machine parameters to be used in the estimation of the field vector. The position and magnitude of the flux vector are identified during the normal operation of the machine by applying some special constraints to the forcing function. This constraint is applied only for a short duration to make some measurements, and the machine performance is not affected. Extensive simulation of the system has been carried out, and the results are presented
  • Keywords
    adaptive systems; asynchronous machines; computerised control; digital simulation; electric machine analysis computing; least squares approximations; machine control; magnetic flux; parameter estimation; field-oriented control; flux estimation; flux vector; induction machine; least square estimation; machine parameters; online estimation; rotor field vector; rotor speed measurements; stator voltage; Adaptive control; Australia; Induction machines; Magnetic field measurement; Programmable control; Stators; Torque control; Transducers; Velocity measurement; Voltage measurement;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.85037
  • Filename
    85037