• DocumentCode
    1401819
  • Title

    A novel approach on parameter identification for inverter driven induction machines

  • Author

    Koning, Richard F F ; Chou, Chun Tung ; Verhaegen, Michel H G ; Ben Klaassens, J. ; Uittenbogaart, Jeroen R.

  • Author_Institution
    Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
  • Volume
    8
  • Issue
    6
  • fYear
    2000
  • fDate
    11/1/2000 12:00:00 AM
  • Firstpage
    873
  • Lastpage
    882
  • Abstract
    AC machines are applied in actuator systems for many applications. The development of fast processors open up the possibilities to apply new techniques for identification and control of electrical drives in real-time, so as to improve and optimize their performances. The paper presents a systematic approach to identify the physically relevant parameters of an AC machine. Special attention is paid to the identification of these parameters, without differentiating the measured voltages and currents. This approach allows the use of high sampling rates necessary to apply identification in real time. The approach is applicable for electrical machines but can be extended to other classes of electro-mechanical actuators. The simulation studies performed in the paper highlight the improvements of the new outlined approach over existing identification methods under realistic operation conditions where the test signals are generated by the power source (inverter) in an uncomplicated way
  • Keywords
    filtering theory; induction motors; machine control; parameter estimation; sampled data systems; velocity control; actuator systems; electro-mechanical actuators; high sampling rates; inverter driven induction machines; parameter identification; power source; AC machines; Actuators; Current measurement; Inverters; Parameter estimation; Performance evaluation; Sampling methods; Signal processing; Testing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/87.880588
  • Filename
    880588