• DocumentCode
    3321550
  • Title

    Sensorless control of induction motors

  • Author

    Keyhani, Ali ; Proca, Amuliu Bogdan ; Miller, John

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    337
  • Lastpage
    344
  • Abstract
    A sensorless torque control system for induction motors was developed in this research. The system allows for fast and precise torque tracking over a wide range of speed. Unlike most research in the area, the authors used an induction motor model that adapts its parameters to the operating conditions. An adaptive sliding mode observer is developed for speed observation and a cascade of discrete time sliding mode controllers is used for flux and current control. A least-square estimation speed estimation method is used at very low speed (below 20 RPM). Simulation and experimental results prove the validity of the approach
  • Keywords
    adaptive control; control system analysis; control system synthesis; electric current control; induction motors; least squares approximations; machine testing; machine theory; machine vector control; observers; parameter estimation; torque control; variable structure systems; adaptive sliding mode observer; control design; control simulation; discrete time sliding mode controller cascade; induction motor sensorless control; least-square estimation speed estimation method; operating conditions; parameter adaptation; sensorless torque control system; speed observation; torque tracking; wide speed range; Adaptive control; Frequency estimation; Hybrid electric vehicles; Induction motors; Parameter estimation; Programmable control; Rotors; Sensorless control; Stators; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference, 2001. IEMDC 2001. IEEE International
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-7091-0
  • Type

    conf

  • DOI
    10.1109/IEMDC.2001.939322
  • Filename
    939322