Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF Processing
AbstractAccurate 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
Share & Cite This Article
Yan, L.; Zhang, H.; Ye, P. Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF Processing. Sensors 2017, 17, 782.
Yan L, Zhang H, Ye P. Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF Processing. Sensors. 2017; 17(4):782.Chicago/Turabian Style
Yan, Leyang; Zhang, Hui; Ye, Peiqing. 2017. "Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF Processing." Sensors 17, no. 4: 782.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.