• DocumentCode
    1197291
  • Title

    Adaptive Transfer Function Estimation of a Notional High-Temperature Superconducting Propulsion Motor

  • Author

    Senroy, Nilanjan ; Suryanarayanan, Siddharth ; Steurer, Michael ; Woodruff, Stephen L.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi
  • Volume
    45
  • Issue
    2
  • fYear
    2009
  • Firstpage
    651
  • Lastpage
    658
  • Abstract
    In this paper, the application of a novel time-frequency analysis tool for the online estimation of the transfer functions of a notional high-temperature superconducting (HTS) marine propulsion motor is demonstrated. A detailed simulation model of the notional HTS motor with a realistic load modeling of sea states to produce torque oscillations is utilized for the analysis. A method is presented for the online near real-time estimation of transfer functions between the torque oscillations and the concomitant variations in the field current and mechanical speed of the HTS motor. The transfer functions, obtained by using the novel method, are compared with the results from a traditional offline transfer function estimation technique.
  • Keywords
    electric motors; marine systems; propulsion; superconducting devices; time-frequency analysis; adaptive transfer function estimation; marine propulsion motor; notional high-temperature superconducting propulsion motor; online estimation; time-frequency analysis tool; torque oscillations; Fast Fourier transforms; Frequency estimation; High temperature superconductors; Marine vehicles; Propulsion; Rotors; Stators; Synchronous motors; Torque; Transfer functions; Empirical mode decomposition (EMD); Hilbert transform; Hilbert–Huang (HH) method; empirical transfer function estimation (ETFE); fast Fourier transform (FFT); high-temperature superconducting (HTS) motor; intrinsic mode function (IMF); sea states; ship propulsion;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2009.2013548
  • Filename
    4802286