DocumentCode :
1808385
Title :
Dynamic parameter identification of induction machines using spectral analysis and output error optimization
Author :
Szabados, Barna ; Ye, Michael
Author_Institution :
McMaster Univ., Hamilton, Ont., Canada
Volume :
3
fYear :
2004
fDate :
18-20 May 2004
Firstpage :
2200
Abstract :
Using a synthetic loading set up with a PWM source, the standard parameters of the induction machine are estimated from dynamic measurements. This utilizes an optimization algorithm to fit the Fourier spectrum of both measured currents and response from the state variable model excited by the measured voltage. Mechanical parameters are measured with the standard IEEE 112.
Keywords :
Fourier analysis; IEEE standards; electric machine analysis computing; equivalent circuits; induction motors; optimisation; parameter estimation; spectral analysis; Fourier spectrum; IEEE standard 112; PWM source; data acquisition; dynamic parameter identification; induction machines; induction motor; output error optimization; simplified circuit model; spectral analysis; state variable model; synthetic loading setup; Electrical resistance measurement; Frequency; Induction machines; Induction motors; Parameter estimation; Pulse width modulation; Rotors; Spectral analysis; Testing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
ISSN :
1091-5281
Print_ISBN :
0-7803-8248-X
Type :
conf
DOI :
10.1109/IMTC.2004.1351527
Filename :
1351527
Link To Document :
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