• DocumentCode
    230455
  • Title

    Sensorless IPMSM drive system using saliency back-EMF-based observer with MTPA control

  • Author

    Faa-Jeng Lin ; Ying-Chih Hung ; Jin-Kuan Chang

  • Author_Institution
    Dept. of Electr. Eng., Nation Central Univ., Chungli, Taiwan
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    3539
  • Lastpage
    3545
  • Abstract
    A saliency back-electromotive force (EMF)-based torque observer using a new maximum torque per ampere (MTPA) control is proposed in this study to improve the speed estimating performance of a sensorless interior permanent magnet synchronous motor (IPMSM) drive system. First, the characteristics and mathematical model of the saliency back-EMF-based proportional-integral-derivative (PID) torque observer with the mechanical model-based phase-lock-loop (PLL) for the estimation of the rotor flux angle and speed of the IPMSM are discussed. Then, the implementation of the saliency back-EMF based MTPA control suitable using digital signal processor (DSP) is introduced. Finally, the feasibility of the proposed control schemes is verified through experimental results.
  • Keywords
    electric potential; permanent magnet motors; phase locked loops; sensorless machine control; synchronous motor drives; three-term control; torque control; DSP; MTPA control; digital signal processor; electromotive force-based torque observer; maximum torque per ampere control; mechanical model-based phase-lock-loop; proportional-integral-derivative torque observer; rotor flux angle estimation; saliency back-EMF-based observer; sensorless IPMSM drive system; sensorless interior permanent magnet synchronous motor drive system; speed estimating performance; speed estimation; Equations; Mathematical model; Observers; Phase locked loops; Rotors; Torque; Interior permanent magnet synchronous motor (IPMSM); maximum torque per ampere (MTPA); saliency back-EMF; sensorless control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7014103
  • Filename
    7014103