UKF — Based for sensorless brushless DC motor control

In this paper, a new mathematical model is built according to the characteristics of the BLDC motor and a new filtering algorithm is proposed for sensorless brushless DC (BLDC) motor based on Unscented Kalman Filter(UKF). The proposed UKF algorithm is employed to estimate the speed and rotor position of the BLDC motor only using the measurements of terminal voltages and three-phase currents. In order to observe the drive performance, two simulation examples are given and the feasibility and effectiveness of the UKF algorithm is verified through the simulation results, and the accurate estimate performance is shown in simulation figures.