• DocumentCode
    2088857
  • Title

    Parameter estimation of induction motors-a review and status report

  • Author

    Raina, Mona ; Toliyat, Hamid A.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1327
  • Abstract
    The induction motor (IM) is the most widely used motor for high performance drive applications. The reason is that it is robust and can be used at higher speeds than DC motors available for industrial applications. Owing to the very large-scale implementation of the IM in industrial drive systems, the effect of the parameters on the control scheme has been the subject of much research. Since the motor parameters change considerably with temperature, frequency and saturation, over time they can greatly affect the performance of the drive system. This paper attempts to provide a synopsis of the major techniques used for the parameter estimation, while also illustrating the wide applications by providing a summary of techniques that are drawn from other branches of engineering. The main techniques that have been covered are spectral analysis of the currents and voltages, use of observers and models and the estimation using nonlinear modeling of IM
  • Keywords
    control system analysis; induction motors; machine control; machine theory; observers; parameter estimation; reviews; control simulation; current spectral analysis; high performance drive applications; induction motor parameter estimation; industrial drive systems; voltage spectral analysis; Control systems; DC motors; Electrical equipment industry; Frequency; Induction motors; Industrial control; Large-scale systems; Parameter estimation; Robustness; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-7108-9
  • Type

    conf

  • DOI
    10.1109/IECON.2001.975974
  • Filename
    975974