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Related Experiment Videos

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

Leyang Yan1, Hui Zhang2, Peiqing Ye3,4

  • 1Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China. yly15@mails.tsinghua.edu.cn.

Sensors (Basel, Switzerland)
|April 7, 2017
PubMed
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This study introduces an extended Kalman filter (EKF) to accurately detect mover position in permanent magnet tubular linear motors by filtering out third-order harmonics from Hall sensor signals.

Area of Science:

  • Electrical Engineering
  • Control Systems
  • Signal Processing

Background:

  • Accurate mover position detection is critical for permanent magnet tubular linear motor (PMTLM) control.
  • Linear Hall sensors are commonly used but their signals contain third-order harmonics, leading to position detection errors.

Purpose of the Study:

  • To develop a signal processing method for filtering third-order harmonics from Hall sensor signals.
  • To improve the accuracy of mover position detection in PMTLMs.

Main Methods:

  • Analysis of limitations in conventional signal processing methods for Hall sensor data.
  • Application of an extended Kalman filter (EKF) for mover position detection.
  • Utilizing the amplitude of the fundamental component and harmonic component percentage as state variables within the EKF model.
Keywords:
extended Kalman filterlinear Hall sensorslinear motorposition detection

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Main Results:

  • The EKF method effectively estimates harmonic components from sensor signals.
  • The proposed EKF-based method demonstrates faster convergence, enhanced stability, and superior accuracy compared to conventional approaches.
  • Experimental validation confirms the effectiveness and advantages of the EKF method.

Conclusions:

  • The developed EKF-based signal processing technique accurately filters third-order harmonics.
  • This method significantly enhances mover position detection accuracy in PMTLMs.
  • The proposed approach offers a robust and efficient solution for PMTLM control systems.