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- W2036307467 abstract "In this paper, a new mathematical model is built according to the characteristics of the brushless DC (BLDC) motor and a new filtering algorithm is proposed for the sensorless BLDC motor based on the 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 are verified through the simulation results, and the accurate estimate performance is shown in simulation figures." @default.
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- W2036307467 date "2014-12-08" @default.
- W2036307467 modified "2023-10-04" @default.
- W2036307467 title "Sensorless control for the brushless DC motor: an unscented Kalman filter algorithm" @default.
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- W2036307467 doi "https://doi.org/10.1080/21642583.2014.982769" @default.
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