DocumentCode :
1286131
Title :
Parameter estimation of induction machines under sinusoidal PWM excitation
Author :
de S.Ribeiro, L.A. ; Jacobina, C.B. ; Lima, A.M.N.
Author_Institution :
UFPB, Campina Grande, Brazil
Volume :
14
Issue :
4
fYear :
1999
fDate :
12/1/1999 12:00:00 AM
Firstpage :
1218
Lastpage :
1223
Abstract :
This paper proposes the use of linear estimation techniques to determine the electrical parameters of a three phase induction machine. The linear regression models are derived from the dynamical machine model. The method permits estimation of a set of four basic parameters namely the stator resistance, the rotor time constant, the stator inductance and the transient inductance. The parameters are estimated using only sinusoidal PWM voltage waveform with a single machine operating point. In the case of the stator resistance estimation a DC voltage is added to sinusoidal voltage. Moreover, to estimate the transient inductance, the stator inductance and the rotor time constant no special signals are required. The data vector employed in the estimation procedure is obtained from the phase measurement data. Several simulation and experimental results concerning the use of the proposed approach to the modeling of a three phase induction machine are presented
Keywords :
PWM invertors; asynchronous machines; electric resistance; inductance; machine theory; parameter estimation; rotors; stators; DC voltage; PWM inverter; dynamical machine model; induction machines; linear estimation techniques; linear regression models; parameter estimation; phase measurement data; rotor time constant; single machine operating point; sinusoidal PWM excitation; sinusoidal PWM voltage waveform; sinusoidal voltage; stator inductance; stator resistance; stator resistance estimation; three phase induction machine; transient inductance; Electric resistance; Inductance; Induction machines; Linear regression; Parameter estimation; Phase estimation; Phase measurement; Pulse width modulation; Stators; Voltage;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/60.815049
Filename :
815049
Link To Document :
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