• DocumentCode
    2566338
  • Title

    Research on sensorless maximum ratio of torque to current control system of PMSM based on a rotor position self-sensing method

  • Author

    Hou, Limin ; Zhang, Huaguang ; Liu, Xiuchong ; Chu, Enhui ; Wang, Qiang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    3693
  • Lastpage
    3697
  • Abstract
    The sensorless control of PMSM are mostly based on high frequency voltage signal injection method or state-observer. A novel rotor position self-sensing method was put forward in this paper by combing the fluctuating high frequency voltage signal injection (FHFVS) method and model reference adaptive system (MRAS) method, which was used in maximum ratio of torque to current control system. The speed-switcher was designed to realize smooth switching between the two methods. This method solved the problem which the single method couldn´t give satisfactory balance between steady and dynamic states. The simulation results illustrate the proposed method would reliably realize the sensorless control of PMSM in a wide speed range, including zero-speed.
  • Keywords
    electric current control; machine control; model reference adaptive control systems; permanent magnet motors; position control; synchronous motors; torque control; MRAS method; PMSM; current control system; high frequency voltage signal injection method; model reference adaptive system method; rotor position self-sensing method; sensorless control; sensorless maximum ratio; speed-switcher; state-observer; torque control system; Adaptive control; Adaptive systems; Current control; Electromagnetic modeling; Frequency; Machine vector control; Programmable control; Sensorless control; Torque control; Voltage fluctuations; Fluctuating high frequency voltage signal (FHFVS); MRAS; PMSM; Speed Switcher;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598020
  • Filename
    4598020