• DocumentCode
    3498422
  • Title

    Fine estimation & self-tuning of both current sensor offset and electrical parameter variation for PM motor

  • Author

    Senko, Tomohiro ; Sazawa, Masaki ; Uenaka, Yutaro ; Ohishi, Kiyoshi

  • Author_Institution
    Nagaoka Univ. of Technol., Nagaoka, Japan
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    1156
  • Lastpage
    1161
  • Abstract
    The servo system of PM motor is always required to keep the fine torque response and the fine speed response. The current controller of PM motor should have the fine current response. However, when each current sensor of U phase and V phase has the offset value, the servo system of PM motor has the torque ripple and can not accurately identify the motor parameters such as the motor resistance Ra and the motor inductance La. In order to overcome these problems, this paper proposes a new fine estimation & self-tuning of both each current sensor offset and the electrical parameters for PM motor. The proposed method is the real time algorithm using the current simulator, which is the software system of DSP. In this paper, the experimental results confirm that the proposed method well estimates each current sensor offset of U phase and V phase, the motor resistance Ra and the motor inductance La individually and accurately, and carries out the fine self-tuning for the current controller of PM motor servo system.
  • Keywords
    electric current control; machine control; permanent magnet motors; servomotors; DSP; PM motor servo system; current controller; current sensor offset; electrical parameter variation; fine speed response; fine torque response; motor inductance; motor resistance; Electric resistance; Inductance; Induction motors; Real time systems; Sensor systems; Servomechanisms; Servomotors; Software algorithms; Software systems; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5414655
  • Filename
    5414655