Estimation and Control of Sensorless Brushless DC Motor Drive using Ensemble Kalman Filter

In this paper, a technique for estimation of the rotor speed and position of a BLDC motor is presented. BLDC motors are nonlinear system and to control BLDC, rotor position must be known. This is usually done by using sensors that result in increased costs, the size of the motor and reduces reliability. In this research, the rotor speed and rotor position of BLDC motor are estimated by Ensemble Kalman Filter only use the stator line voltage and current measurement. The Ensemble Kalman Filter (EnKF) is a recursive filter suitable for non-linear systems. The estimated rotor speed and position rotor has been used for the motor drive and closed loop speed control of the BLDC motor. The performance of the proposed technique is demonstrated through real-time simulation.