DocumentCode
1913334
Title
Estimation of rotor resistance of an induction motor using extended Kalman filter and spiral vector theory
Author
Menaa, Mohamed ; Touhami, Omar ; Ibti, Rachid
Author_Institution
Fac. of Electr. Eng., Houari Boumediene Univ. of Sci. & Technol., Algiers, Algeria
Volume
2
fYear
2003
fDate
23-25 June 2003
Firstpage
1262
Abstract
A novel method of induction machine parameter estimation by an extended Kalman filter taking into account of spiral vector theory used in machine model is presented. The induction machine model is elaborated for establishing the performance equations in function only one-phase variables of the stator and the rotor. This called: "the phase segregation method". Also, the extended Kalman filter (EKF) is applied to estimate the rotor resistance and air-gap flux in induction machine parameters. The simulated results are compared with the experimental ones.
Keywords
Kalman filters; induction motors; machine control; nonlinear filters; parameter estimation; rotors; vectors; air-gap flux; extended Kalman filter; induction motor; parameter estimation; phase segregation method; rotor resistance estimation; spiral vector theory; stator; Air gaps; Equations; Inductance; Induction machines; Induction motors; Rotors; Solid modeling; Spirals; Stators; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Print_ISBN
0-7803-7729-X
Type
conf
DOI
10.1109/CCA.2003.1223192
Filename
1223192
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