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

Abstract

In this article, the application of a novel timefrequency 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. Index Terms-empirical mode decomposition (EMD); empirical transfer function estimation, fast Fourier transform (FFT); High-temperature superconducting (HTS) motor, Hilbert-Huang (HH) method; intrinsic mode function (IMF); torque oscillations.