A comparison of ensemble Kalman filter and extended Kalman filter as the estimation system in sensorless BLDC motor

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Abstract

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.

Original languageEnglish
Pages (from-to)7386-7393
Number of pages8
JournalARPN Journal of Engineering and Applied Sciences
Volume10
Issue number17
Publication statusPublished - 1 Jan 2015

Keywords

  • Ensemble kalman filter
  • Extended kalman filter
  • Sensorless brushless DC motor
  • Speed estimation

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