DocumentCode
547943
Title
Induction motor parameter estimation based on the nonlinear state space model
Author
Dehghani-Pilehvarani, Alireza ; Dehghani, Mohammad
Author_Institution
Sch. of Electr. & Comput. Eng., Shiraz Univ., Shiraz, Iran
fYear
2011
fDate
17-19 May 2011
Firstpage
1
Lastpage
1
Abstract
This paper presents a method for estimation of induction motor parameters. The proposed approach uses analytical relations to identify the 3rd order model parameters. The method transforms the 3rd order nonlinear model to a linear regression equation. In this study, the field voltage is considered as the input and the active and reactive output power and the rotor speed are considered as the outputs of the induction motor. Using the nonlinear state space relations of the motor, a simple procedure, based on the known least squares method, is generated, through which, it is possible to estimate all parameters of motor. The estimated parameters are tested with different conditions. The simulation results show the accuracy of this approach.
Keywords
induction motors; least squares approximations; parameter estimation; regression analysis; state-space methods; 3rd order nonlinear model; active output power; field voltage; induction motor parameter estimation; least squares method; linear regression equation; nonlinear state space model; reactive output power; rotor speed; System identification; analytical identification; induction motor; linear identification; nonlinear state space model;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location
Tehran
Print_ISBN
978-1-4577-0730-8
Type
conf
Filename
5955833
Link To Document