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
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;
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8