Application of a Time-Frequency Algorithm for Adaptive Estimation of Transfer Function of a Notional High-Temperature Superconducting Motor

Author

Senroy, N. ; Suryanarayanan, S. ; Steurer, M. ; Woodruff, S.L.

Author_Institution

Florida State Univ., Tallahassee

fYear

2007

fDate

21-23 May 2007

Firstpage

238

Lastpage

244

Abstract

In this article, the application of a novel time-frequency analysis tool for estimating the transfer functions of a notional high-temperature superconducting (HTS) marine propulsion motor is demonstrated. Detailed simulation model of the notional HTS motor, with realistic load modeling of sea states to produce torque oscillations are utilized for the analysis. A method is presented for online near real-time estimation of transfer functions between the torque oscillations and the concomitant variations in field current and mechanical speed of the HTS motor.

Keywords

adaptive estimation; electric motors; electric propulsion; superconducting machines; time-frequency analysis; transfer functions; HTS marine propulsion motor; adaptive estimation; notional high-temperature superconducting motor; real-time estimation; realistic load modeling; time-frequency algorithm; torque oscillations; transfer function; Adaptive estimation; Computational modeling; Current measurement; High temperature superconductors; Power system analysis computing; Power system modeling; Power system simulation; Time frequency analysis; Torque; Transfer functions; High-temperature superconducting (HTS) motor; Hilbert-Huang (HH) method; empirical mode decomposition (EMD); empirical transfer function estimation; fast Fourier transform (FFT); intrinsic mode function (IMF); torque oscillations;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Ship Technologies Symposium, 2007. ESTS '07. IEEE

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0947-0

Electronic_ISBN

1-4244-0947-0

Type

conf

DOI

10.1109/ESTS.2007.372092

Filename

4233828