In this paper, a new filtering algorithm is proposed for system control of the sensorless BLDC motor based on the Ensemble Kalman filter (EnKF). The proposed EnKF algorithm is used to estimate the speed and rotor position of the BLDC motor only using the measurements of terminal voltages and three-phase currents. The speed estimation performance of developed EnKF was compared with the Extended Kalman Filter (EKF) under the same conditions. Results indicate that the proposed EnKF as an observer shows better performance than that of the EKF.
|Number of pages||8|
|Journal||ARPN Journal of Engineering and Applied Sciences|
|Publication status||Published - 1 Jan 2015|
- Ensemble kalman filter
- Extended kalman filter
- Sensorless brushless DC motor
- Speed estimation