• DocumentCode
    1902507
  • Title

    Sensorless speed estimation and diagnosis of induction motors based on purified space vectors

  • Author

    Dongfeng Shi

  • Author_Institution
    Rolls-Royce Group, Optimized Syst. & Solutions, Derby, UK
  • fYear
    2013
  • fDate
    27-30 Aug. 2013
  • Firstpage
    365
  • Lastpage
    370
  • Abstract
    A new scheme based on the demodulation technique and interpolated fast Fourier transform (IFFT) is proposed to construct purified space vector for the purpose of sensorless speed measurement and fault diagnosis for induction motors. The phase and amplitude fluctuation associated with the eccentricity harmonics is demodulated first. Interpolated fast Fourier transform is then performed to estimate the speed of induction motors running under constant speed and transient conditions. Experimental studies have further confirmed good agreement between the estimated motor speed using the proposed scheme and the measured speed using an encoder. The effectiveness of proposed purified space vector has been further demonstrated in the detection of coupling misalignments and stator faults.
  • Keywords
    fast Fourier transforms; fault diagnosis; induction motors; stators; IFFT; amplitude fluctuation; coupling misalignments detection; demodulation technique; eccentricity harmonics; encoder; induction motor diagnosis; interpolated fast Fourier transform; purified space vectors; sensorless speed estimation; sensorless speed measurement; stator faults; Demodulation; Fluctuations; Frequency estimation; Harmonic analysis; Induction motors; Time-frequency analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/DEMPED.2013.6645741
  • Filename
    6645741