• DocumentCode
    2424783
  • Title

    Speed identification about PMSM with MRAS

  • Author

    Zhifu, Wang ; Qizhi, Teng ; Chengning, Zhang

  • Author_Institution
    Sch. of Mech. & Vehicle Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    17-20 May 2009
  • Firstpage
    1880
  • Lastpage
    1884
  • Abstract
    Speed identification is important to apply the permanent magnet synchronous motor system on the situation that need speed signal but without speed sensor. Taking system dynamic mathematics model as the investigated subject, set up the speed identification adaptive system of the enhanced magnetism motor system on the basic of model reference adaptive system and POPOV´s hyperstability theory. Derive the equivalence nonlinear feedback system of the speed identification adaptive system. Prove its stability and dynamic follow character. There is no pure integration, moment of inertia and system load in the speed estimation system. Taking system mechanic model as the verified subject, studied the speed estimation algorithms performance when the system works in drive, regenerative braking operation mode and disturbance happens to the motor system. Bench test verified the speed estimator when the system in acceleration. The results show that the identification speed can follow the real speed quickly in above all operation modes and the estimation error is small. The results of dynamic performance study are the basic of optimization of its control performance.
  • Keywords
    adaptive systems; feedback; identification; matrix algebra; nonlinear systems; permanent magnet motors; synchronous motors; POPOV hyperstability theory; enhanced magnetism motor system; equivalence nonlinear feedback system; model reference adaptive system; permanent magnet synchronous motor system; regenerative braking operation mode; speed estimation system; speed identification adaptive system; speed sensor; system dynamic mathematics model; system mechanic model; Adaptive systems; Feedback; Magnetic sensors; Mathematical model; Mathematics; Nonlinear dynamical systems; Permanent magnet motors; Sensor systems; Signal processing; Synchronous motors; MRAS; PMSM; Speed identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3556-2
  • Electronic_ISBN
    978-1-4244-3557-9
  • Type

    conf

  • DOI
    10.1109/IPEMC.2009.5157702
  • Filename
    5157702