• DocumentCode
    481856
  • Title

    Current space vector amplitude fluctuation based sensorless speed measurement of induction machines using Short Time Fourier Transformation

  • Author

    Wang, Chun ; Zhou, Zhongfu ; Unsworth, Peter J. ; Igic, Petar

  • Author_Institution
    Inst. of Adv. Telecommun., Swansea Univ., Swansea
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    1869
  • Lastpage
    1874
  • Abstract
    A novel method of obtaining sensorless speed information of induction motors, derived from current space vector amplitude fluctuation (SVAF), is presented in this paper. The space vector amplitude fluctuation associated with the eccentricity harmonics is first demodulated using Park transformation in space vector plane. Short Time Fourier Transformation (STFT) is then carried out to estimate the speed of an induction machine running under transient conditions phase such as motor starting. The method has been tested and verified on an ABB 2-pole induction machine in laboratory; excellent agreement has been achieved between the estimated speed using the proposed scheme and the measured speed using an actual speed sensor. The advantage of the proposed method is that it is more effective to estimate the motor speed running with high acceleration rate during motor starting.
  • Keywords
    Fourier transforms; angular velocity measurement; fluctuations; induction motors; ABB 2-pole induction machine; Park transformation; current space vector amplitude fluctuation; eccentricity harmonics; induction motors; sensorless speed measurement; short time Fourier transformation; speed sensor; transient conditions; Design engineering; Extraterrestrial measurements; Fluctuations; Induction machines; Induction motors; Phase estimation; Power harmonic filters; Rotors; Stators; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758240
  • Filename
    4758240