Your Selections

P.C. Krause And Associates Inc.
Show Only


File Formats

Content Types








   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Regression Techniques for Parameter Estimation of a Synchronous Machine from Sudden Short-Circuit Testing

P.C. Krause And Associates Inc.-Brett A. Robbins, Will Perdikakis
US Air Force-Kevin J. Yost
Published 2019-03-19 by SAE International in United States
A sudden short-circuit (SSC) laboratory test of an electric machine is a commonly used procedure to estimate model parameters that accurately represent the dynamic response of the machine. While the graphical interpretation of the short-circuit current is often discussed in great detail, the numerical methods used to determine the solution for the machine parameter estimation is a challenging proposition. In this paper, the authors present an integral regression technique to fit the characteristic equation of the short-circuit current to a curve that is composed of exponential decays that trail off to an unknown steady-state value in the presence of noise. The proposed estimation method is applied to laboratory data from an aerospace synchronous machine.
This content contains downloadable datasets
Annotation ability available