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Yost, Kevin J.
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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.
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Experimental Characterization of Brushless Synchronous Machines for Efficient Model-Base System Engineering

PC Krause & Associates-Brett Robbins
US Air Force Research Laboratory-Kevin J. Yost, Jon Zumberge
Published 2016-09-20 by SAE International in United States
Detailed machine models are, and will continue to be, a critical component of both the design and validation processes for engineering future aircraft, which will undoubtedly continue to push the boundaries for the demand of electric power. This paper presents a survey of experimental testing procedures for typical synchronous machines that are applied to brushless synchronous machines with rotating rectifiers to characterize their operational impedances. The relevance and limitations of these procedures are discussed, which include steady-state drive stand tests, sudden short-circuit transient (SSC) tests, and standstill frequency response (SSFR) tests. Then, results captured in laboratory of the aforementioned tests are presented.
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