• DocumentCode
    3566046
  • Title

    An experimental study of position sensorless control at low speed of IPMSM with heavy magnetic saturation

  • Author

    Ting Yuan ; Doki, Shinji

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2014
  • Firstpage
    398
  • Lastpage
    403
  • Abstract
    This paper describes position estimation method for interior permanent magnet synchronous motor (IPMSM) using idea of pattern matching technique. High frequency signal injection methods are conventional method of sensorless vector control for IPMSM in standstill and very low speed region. Those methods are used when the value of phase inductance can be assumed to be a sinusoidal function of rotor position. Generally, automobile motors are designed to have high torque density. In such motors, the value of phase inductance would be complicated because of the magnetic saturation, which negatively affects the accuracy of rotor position estimation. To solve those problems, we have proposed in this paper a new approach for sensorless vector control of the IPMSM with heavy magnetic saturation. This approach, utilizes pattern matching. Experimental results are included to demonstrate the applicability of proposed methods.
  • Keywords
    inductance; machine vector control; pattern matching; permanent magnet motors; position control; rotors; sensorless machine control; synchronous motors; IPMSM; automobile motors; heavy magnetic saturation; high frequency signal injection methods; interior permanent magnet synchronous motor; pattern matching technique; phase inductance; position estimation method; rotor position estimation; sensorless vector control; Estimation; Inductance; Machine vector control; Pattern matching; Permanent magnet motors; Rotors; Saturation magnetization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7048531
  • Filename
    7048531