Reduced Order Extended Kalman Filter based Stator and Rotor Resistance Estimator for Speed-Sensored Direct Vector Controlled Induction Motors Drives

In this study, speed-sensored direct vector control of induction motors (IMs) is implemented by proposing and using a novel reduced order extended Kalman filter (ROEKF). In addition to αβ-components of rotor fluxes in stator stationary axis (？α and ？β), stator resistance (Rs) and rotor resistance (Rr) whose values vary according to temperature and frequency are simultaneously estimated by the proposed ROEKF in a wide speed range. Under challenging variations of rotor angular velocity, load torque (tL), Rr, and Rs the obtained simulation based estimation results associated with the ROEKF and thus control performances of the designed direct vector controlled IM drive are quite satisfactory and validate to require less computational load then its full-order counter part