DocumentCode :
2416686
Title :
An approach of parameter identification for asynchronous machine
Author :
Li, Y.M. ; Bergmann, C. ; Feuvrie, B.
Author_Institution :
IUT de Nantes, France
Volume :
3
fYear :
1996
fDate :
5-10 Aug 1996
Firstpage :
1711
Abstract :
This work deals with the parameter identification of asynchronous machines in cases where the motor is rotating and at standstill. In this work, an optimal exciting input signal is determined by methods of optimization to give a best trajectory of the system. Integration is applied to a differential equation model to avoid the wrong information caused by a derivative operation on noise. Instrumental variable estimation is introduced to improve the quality of identification by least-square estimation. Experimental results are given. The work is achieved with MATLAB Toolbox
Keywords :
asynchronous machines; differential equations; electric machine analysis computing; least squares approximations; machine theory; parameter estimation; software packages; MATLAB Toolbox; asynchronous machines; computer simulation; differential equation model; instrumental variable estimation; least-square estimation; optimal exciting input signal; parameter identification; rotation; standstill; Differential equations; Filters; Frequency; Instruments; MATLAB; Mathematical model; Noise measurement; Optimization methods; Parameter estimation; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
Type :
conf
DOI :
10.1109/IECON.1996.570674
Filename :
570674
Link To Document :
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