Estimation and control of sensorless brushless DC motor drive using Extended Kalman Filter

Abstract

This paper presents a method for estimation of the rotor speed and position of a BLDC motor. As BLDC motors are non-linear systems, Extended Kalman Filter (EKF), an advanced version of the Kalman filter has been used for designing the control algorithm for the motor. In the proposed work, the motor state variables are estimated using an Extended Kalman Filter, using the measurements of the stator line voltages and currents alone. The estimated rotor speed has been used for the closed loop speed control of the BLDC motor and the simulation results have been verified.