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


Article Information

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

Authors: M. Rif’an, F. Yusivar, W. Wahab, B. Kusumoputro

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 17

Language: English

Categories

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.


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