• DocumentCode
    482246
  • Title

    A dynamic decoupling method for speed-sensorless vector control of induction motor

  • Author

    Zhang, Zhipeng ; Ge, Qiongxuan

  • Author_Institution
    Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    This paper presents a decoupling method for speed-sensorless vector control of induction motor to track the flux command fast and eliminate torque ripples in flux-varying environment, such as field-weakening operation and efficiency optimization. Rotor flux-oriented control can decouple the speed and flux control. However, the decoupling is on the condition of a constant rotor flux. When motor drives operate in field-varying regions, the decoupling will fail. The method proposed in this paper can achieve dynamic decoupling between rotor flux and speed. Thus, the dynamic performance of flux and speed tracking can be improved when flux command varies rapidly. The proposed method can improve the dynamic performance of control of speed and rotor flux by adding a feed-forward controller. Comparison between the proposed method and traditional method shows that the performance is improved by the proposed method. A prototype based on TMS320F2812 DSP is built to carry out the proposed method. Simulation and experimental results verify the validity of the method.
  • Keywords
    angular velocity control; feedforward; induction motor drives; machine vector control; rotors; torque; TMS320F2812 DSP; dynamic decoupling method; feed-forward controller; induction motor drive; rotor flux-oriented control; speed tracking performance; speed-sensorless vector control; torque ripple elimination; Adaptive control; Costs; Feedback; Induction motors; Machine vector control; Optimization methods; Programmable control; Rotation measurement; Rotors; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4770650