Sensorless speed control of induction motor drive using extended Kalman filter observer

Abstract

This paper presents a speed and flux estimation scheme for sinusoidal pulse width modulation (SPWM) fed induction motor (IM) drive using extended Kalman filter (EKF) observer. EKF is a recursive algorithm and robust method against motor parameter variations and it can also handle the nonlinearity in machine modeling in discretized form. Despite high estimation complexity, EKF shows better transient and steady state responses over the wide speed and torque ranges. However, the rotor flux variation as speed changes is controlled by introducing a proportional integral (PI) regulator in flux path. Implementation of the field oriented control of IM drive in the proposed sensorless environment is carried out in Matlab/Simulink. Furthermore, simulation results are authenticated by experimental tests with the help of dSPACE-1103 laboratory prototype.