INDUCTION MOTOR PARAMETER ESTIMATION BASED ON THE NONLINEAR STATE SPACE MODEL

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:

System identification , induction motor , nonlinear state space model , analytical identification , linear identification