State estimation for wound rotor induction motor using discrete-time extended Kalman filter

Abstract

Many wound rotor induction motor models are available in the literature. In this paper, a modified extended wound rotor induction motor model using reference frame theory is presented. State estimation of the proposed WRIM model is carried out using discrete-time extended Kalman filter (DTEKF). Rotor current sensors are required for state estimation which are usually present in all WRIM applications. Analytical simulations are carried out for a 3.7 kW four-pole wound rotor induction motor using MATLAB scientific environment-version R2016a. The results show the advantage of the proposed state estimation in realistic applications from the rotor prospective.