A Sensorless Speed Estimation for Indirect Vector Control of Three-Phase Induction Motor Using Extended Kalman Filter

摘要

The accuracy of a sensorless indirect vector control of three-phase induction motor highly depends on a rotor flux, a rotor flux angle and a rotor speed. In this paper, an Extended Kalman Filter (EKF) is presented to accurately estimate the rotor flux, the rotor flux angle and the rotor speed using the direct measurement of the stator currents and voltages only. In spite of its complex computation, the EKF estimates and responses well during the steady and transient period since it has innate high convergence rate. The detailed algorithm for EKF is elucidated and the performance is verified via Matlab/Simulink simulation.