DocumentCode :
1701940
Title :
Parameter estimation of induction machines under sinusoidal excitation
Author :
Jacobina, C.B. ; Lima, A.M.N. ; Ribeiro, L. De S A
Author_Institution :
UFPB/CCT/DEE/LEIAM, Campus II, Campina Grande, PB, Brazil
fYear :
1997
Abstract :
This paper proposes a linear estimation technique to determine the electrical parameters of a three-phase induction machine. The linear regression models are derived from the sinusoidal steady state machine model. The method permits the estimation of a set of four basic parameters [rsr,lsσls ]. The parameters are estimated using only one machine operation point. This study enables one to build a parameter mapping of the induction machine in terms of its operating points. The data vector employed in the estimation procedure is obtained from the phase measurement data. Simulation and experimental results of the proposed approach in the modeling of a three-phase induction machine are presented
Keywords :
asynchronous machines; machine testing; machine theory; parameter estimation; statistical analysis; data vector; electrical parameters; linear estimation technique; linear regression models; operating points; phase measurement data; sinusoidal excitation; sinusoidal steady state machine model; three-phase induction machine; Equations; Induction machines; Jacobian matrices; Least squares approximation; Linear regression; Parameter estimation; Phase estimation; Stators; Steady-state; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location :
Milwaukee, WI
Print_ISBN :
0-7803-3946-0
Type :
conf
DOI :
10.1109/IEMDC.1997.604281
Filename :
604281
Link To Document :
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