• DocumentCode
    48865
  • Title

    Online Identification of Parameters Defining the Saturation Characteristics of Induction Machines

  • Author

    Ranta, Mikaela ; Hinkkanen, Marko

  • Author_Institution
    Sch. of Electr. Eng., Aalto Univ., Aalto, Finland
  • Volume
    49
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept.-Oct. 2013
  • Firstpage
    2136
  • Lastpage
    2145
  • Abstract
    The induction machine model parameters need to be estimated with good accuracy to ensure a good performance of the drive. Due to the magnetic saturation, the inductances vary as a function of the flux level. The magnetizing curve can be identified at standstill, but more accurate results are obtained if the identification is performed as the machine is running. In this paper, the magnetic saturation is modeled using a power function, and adaptation laws for the function parameters are proposed. The adaptation method is implemented in the control system of a sensorless drive. Experimental results on a 2.2-kW machine show that the identification of the stator inductance is rapid and the accuracy is good.
  • Keywords
    asynchronous machines; electric drives; machine theory; magnetic flux; magnetisation; parameter estimation; sensorless machine control; stators; flux level function; induction machine model; magnetic saturation; magnetizing curve; parameter estimation; parameter identification; power 2.2 kW; power function; saturation characteristics; sensorless drive control system; stator inductance; Induction motor; magnetic saturation; parameter estimation; sensorless control;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2261793
  • Filename
    6514076