• DocumentCode
    2314787
  • Title

    Model Reference Adaptive Technique for Sensorless Speed Control of Induction Motor

  • Author

    Santhosh, Pothana ; Chile, R.H. ; Patil, A.B. ; Patil, D.R.

  • Author_Institution
    Dept. of Electr. Eng., Walchand Coll. of Eng., Sangli
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    893
  • Lastpage
    898
  • Abstract
    This paper describes a model reference adaptive system (MRAS) for speed control of the induction motor drive (IM) without a speed sensor. In this scheme an adaptive pseudoreduced-order flux observer (APFO) is used instead of the adaptive full-order flux observer (AFFO), an APFO is used for estimate the IM rotor speed and stator resistance, and these are used as feedback signals for the field oriented control (FOC), which is a widely used control method for induction motor drive (IM). Simulation results show that the proposed scheme can estimate the motor speed under various adaptive PI gains and estimated speed can replace to measured speed in sensorless induction motor drives, this scheme is more efficient at very low speed, and also observed line currents, torque and speed under no-load and load conditions.
  • Keywords
    angular velocity control; induction motor drives; machine control; model reference adaptive control systems; observers; MRAS; adaptive full-order flux observer; adaptive pseudoreduced-order flux observer; feedback signals; field oriented control; induction motor drive; model reference adaptive technique; sensorless speed control; Adaptive control; Adaptive systems; Induction motor drives; Induction motors; Programmable control; Rotors; Sensor phenomena and characterization; Sensor systems; Sensorless control; Velocity control; Adaptive speed estimation; Induction Motor; Model reference adaptive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.257
  • Filename
    4580029