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
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;
Conference_Titel :
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Print_ISBN :
0-7803-7729-X
DOI :
10.1109/CCA.2003.1223192
