Synchronous machine parameter identification by a multi-time scale technique

Author

Touhami, O. ; Guesbaoui, H. ; Iung, C.

Author_Institution

Centre de Recherche en Autom. de Nancy, France

fYear

1992

fDate

4-9 Oct 1992

Firstpage

178

Abstract

The authors propose a novel method for synchronous machine parameter identification. They use the multi-time-scale decompositions to reduce the operational reactances. The identification method is based on the frequency responses. The synchronous machine is at standstill and supplied by pseudorandom binary sequence voltages. The output data are the currents in the windings. All the Park´s model parameters of an alternator of 13.5 kVA/19.5 A/50 Hz are estimated by an autoregressive external input model structure

Keywords

alternators; frequency response; machine theory; parameter estimation; synchronous machines; 13.5 kVA; 19.5 A; 50 Hz; Park´s model parameters; alternator; autoregressive external input model structure; frequency responses; multi-time scale technique; parameter identification; pseudorandom binary sequence voltages; synchronous machine; winding currents; Alternators; Electromagnetic fields; Equations; Finite element methods; Frequency; Machine windings; Parameter estimation; Synchronous machines; Testing; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE

Conference_Location

Houston, TX

Print_ISBN

0-7803-0635-X

Type

conf

DOI

10.1109/IAS.1992.244297

Filename

244297