• DocumentCode
    3367515
  • Title

    A MRAS based speed identification scheme for a PM synchronous motor drive using the sliding mode technique

  • Author

    Yan, Weisheng ; Lin, Hai ; Li, Hong ; Li, Huiping ; Lu, Jian

  • Author_Institution
    Dept. of Mech. Eng. & Autom. Control, Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    3656
  • Lastpage
    3661
  • Abstract
    The paper focuses on a model reference adaptive system (MRAS) speed identification of permanent magnet synchronous motor (PMSM) using the sliding mode approach. The new MRAS algorithm is based on the error between the outputs of flux linkage-current model and flux linkage-voltage model. Then, the error is used to estimate rotor speed by a suitable adaptation mechanism. Moreover, the sliding mode technique is used to MRAS based control of PMSM, which is more robust to motor parameter uncertainly, model inaccuracy and external disturbance. Compared to the conventional MRAS method, the new method has a much better dynamic, steady state performance and robustness. Simulation results show the validity of the proposed method.
  • Keywords
    identification; model reference adaptive control systems; permanent magnet motors; synchronous motor drives; variable structure systems; MRAS based speed identification scheme; flux linkage current model; flux linkage voltage model; model reference adaptive system; permanent magnet synchronous motor drive; rotor speed estimation; sliding mode technique; Adaptive control; Adaptive systems; Permanent magnet motors; Programmable control; Robustness; Rotors; Sliding mode control; Synchronous motors; Vehicle dynamics; Voltage; Model Reference Adaptive System; Permanent Magnet Synchronous Motor (PMSM); Sliding Mode Control; Speed Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246414
  • Filename
    5246414