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Regression Techniques for Parameter Estimation of a Synchronous Machine from Sudden Short-Circuit Testing
Technical Paper
2019-01-1354
ISSN: 0148-7191, e-ISSN: 2688-3627
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AeroTech Americas
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English
Abstract
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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Robbins, B., Perdikakis, W., and Yost, K., "Regression Techniques for Parameter Estimation of a Synchronous Machine from Sudden Short-Circuit Testing," SAE Technical Paper 2019-01-1354, 2019, https://doi.org/10.4271/2019-01-1354.Data Sets - Support Documents
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References
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