• DocumentCode
    3545372
  • Title

    MRAS based estimation of speed in sensorless PMSM drive

  • Author

    Mishra, Anadi ; Mahajan, V. ; Agarwal, Prabhakar ; Srivastava, S.P.

  • Author_Institution
    Electr. Eng. Dept., IIT Roorkee, Roorkee, India
  • fYear
    2012
  • fDate
    19-22 Dec. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To increase the mechanical robustness of drive system and to make the drive cheaper elimination of the position sensor is highly encouraged. Sensors are not reliable in explosive environment like in chemical industries and may cause the EMI problem. This has made the speed and position sensorless drive very attractive. A speed and position estimator for PMSM drive has been investigated. In the algorithm the PMSM used as reference model. The adaptation mechanism uses a PI controller to process the error between reference model and adjustable model. The estimation algorithm used is independent of stator resistance, computationally less complex, free from integrator problem because back-emf estimation is not required and provides stable operation of drive system. So the performance at low and zero speed is also good. The estimation algorithm is implemented in MATLAB. Simulations results show the validity of MRAS estimator presented here.
  • Keywords
    PI control; angular velocity control; estimation theory; model reference adaptive control systems; permanent magnet motors; sensorless machine control; stability; stators; synchronous motor drives; MATLAB implementation; MRAS-based speed estimation; PI controller; adaptation mechanism; adjustable model; error processing; estimation algorithm; free from integrator problem; mechanical robustness; model reference adaptive system; operational stability; position estimator; position sensor elimination; reference model; sensorless PMSM drive; stator resistance; Adaptation models; Computational modeling; Estimation; Mathematical model; Rotors; Stators; Torque; MRAS; PMSM; SVM; adaptive mechanism; estimation; sensorless;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power India Conference, 2012 IEEE Fifth
  • Conference_Location
    Murthal
  • Print_ISBN
    978-1-4673-0763-5
  • Type

    conf

  • DOI
    10.1109/PowerI.2012.6479492
  • Filename
    6479492