• DocumentCode
    468510
  • Title

    A new approach to estimated rotor position for PMSM based on sliding mode observer

  • Author

    Jiaxi, Liu ; Guijie, Yang ; Tiecai, Li

  • Author_Institution
    Harbin Inst. of Technol., Harbin
  • fYear
    2007
  • fDate
    8-11 Oct. 2007
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    Most methods to estimate the rotor position of permanent magnetic synchronous motor (PMSM) suffer from the motor parameter, which are difficult to be applied due to the complicated algorithm. This paper presents a new approach to estimate the rotor position of PMSM based on the sliding mode observer (SMO). The SMO makes use of the error between the estimated current and measurement current. Back-EMF is obtained by the low pass filter(LPF) . The rotor angle can be a close-loop system in order to improve accuracy and reduce system noise. The rotor position is obtained by the direct integration of the estimated rotor speed. The error due to the pure integration is eliminated by a novel way. The convergence of the SMO is guaranteed. High performance sensorless drive of the PMSM based on SMO is established and the whole system is simulated by matlab. Simulation and experimental results show excellent performance.
  • Keywords
    closed loop systems; low-pass filters; observers; permanent magnet motors; power filters; rotors; synchronous motor drives; PMSM; close-loop system; low pass filter; performance sensorless drive; permanent magnetic synchronous motor; rotor position estimation; sliding mode observer; system noise reduction; Convergence; Current measurement; Low pass filters; Mathematical model; Noise reduction; Rotors; Stators; Switches; Synchronous motors; Voltage; PMSM; SENSORLESS; SMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2007. ICEMS. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-86510-07-2
  • Electronic_ISBN
    978-89-86510-07-2
  • Type

    conf

  • Filename
    4412001