DocumentCode
1655501
Title
Non-linear identification of the parameters of the ABC/abc model of the induction motor
Author
Elkhattabi, Nadia ; Sévigny, Anatole ; Sicard, Pierre ; Charette, André
Author_Institution
Departement de Genie Electrique et Genie Informatique, Quebec Univ., Trois-Rivieres, Que., Canada
Volume
4
fYear
2004
Firstpage
2047
Abstract
The problem of estimating the parameters of the induction motor using its ABC/abc model to incorporate the different modes of operation of the machine is discussed. The Levenberg-Marquardt non-linear least squares algorithm is used to optimise the parameters of a model, which uses the measurement of currents and voltages of the stator and the rotor. The non-linear identification is made during the transient state and the continuous state. The possibility of exciting the motor by injecting low voltage or harmonics for identifying its parameters and for increasing the precision is also presented.
Keywords
electric current; electric potential; induction motors; least squares approximations; optimisation; parameter estimation; Levenberg-Marquardt algorithm; induction motor model; model parameters optimisation; nonlinear identification; nonlinear least squares algorithm; parameter estimation; parameter identification; rotor currents; rotor voltages; stator currents; stator voltages; Content addressable storage; Digital TV; Inductance; Minimization methods; Petroleum; Robustness; Stators; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2004. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-8253-6
Type
conf
DOI
10.1109/CCECE.2004.1347636
Filename
1347636
Link To Document