DocumentCode :
3361411
Title :
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
Link To Document :
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