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
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