Sensorless vector control of 3-phase BLDC motor using a novel Extended Kalman

Abstract

This paper execute trial and error method called Active Learning Method (ALM) in Extended Kalman Filter (EKF) that is accompanied by some problems. The proposed EKF estimator used in sensorless vector control of brushless DC motor (BLDCM). This estimator uses stator voltages and currents to estimates state variables. By this estimator, filtering of current and voltage can be eliminated due to inherent properties of kalman filter. In this scheme, current controllers have been used for control strategy. Simulation results show good performance of presented sensorless scheme for BLDCM.