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Sensors 2017, 17(4), 782; doi:10.3390/s17040782

Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF Processing

1
Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
2
State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 1 March 2017 / Revised: 25 March 2017 / Accepted: 29 March 2017 / Published: 6 April 2017
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [2958 KB, uploaded 6 April 2017]   |  

Abstract

Accurate mover position is vital for a permanent magnet tubular linear motor (PMTLM) control system. In this paper, two linear Hall sensors are utilized to detect the mover position. However, Hall sensor signals contain third-order harmonics, creating errors in mover position detection. To filter out the third-order harmonics, a signal processing method based on the extended Kalman filter (EKF) is presented. The limitation of conventional processing method is first analyzed, and then EKF is adopted to detect the mover position. In the EKF model, the amplitude of the fundamental component and the percentage of the harmonic component are taken as state variables, and they can be estimated based solely on the measured sensor signals. Then, the harmonic component can be calculated and eliminated. The proposed method has the advantages of faster convergence, better stability and higher accuracy. Finally, experimental results validate the effectiveness and superiority of the proposed method. View Full-Text
Keywords: linear motor; position detection; linear Hall sensors; extended Kalman filter linear motor; position detection; linear Hall sensors; extended Kalman filter
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yan, L.; Zhang, H.; Ye, P. Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF Processing. Sensors 2017, 17, 782.

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