Synchronous machine parameter estimation from standstill flux decay data

Author

Tumageanian, A. ; Keyhani, A.

Author_Institution

Ohio State Univ., Columbus, OH, USA

fYear

1992

Firstpage

1288

Abstract

A time-domain system identification procedure to estimate the parameters of a 15-kVA salient pole synchronous machine from standstill test measurements is proposed. The test consists of a DC flux decay signal applied to the d-axis and q-axis of the machine. From the recorded responses to this signal, the admittance transfer function models and the equivalent circuit models are identified. The maximum likelihood algorithm is used to estimate the model parameter values, and the best-fit models are selected. The performance of the models is then evaluated using the standstill measured data

Keywords

equivalent circuits; machine theory; magnetic flux; maximum likelihood estimation; parameter estimation; synchronous machines; time-domain analysis; transfer functions; 15 kVA; DC flux decay signal; admittance transfer function models; best-fit models; d-axis; equivalent circuit models; maximum likelihood algorithm; parameter estimation; performance; q-axis; salient pole synchronous machine; standstill flux decay data; time-domain system identification; Admittance; Circuit testing; Equivalent circuits; Parameter estimation; Signal processing; Synchronous machines; System identification; System testing; Time domain analysis; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on

Conference_Location

Washington, DC

Print_ISBN

0-7803-0510-8

Type

conf

DOI

10.1109/MWSCAS.1992.271037

Filename

271037