Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF ProcessingReportar como inadecuado


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


Mover Position Detection for PMTLM Based on Linear Hall Sensors through EKF Processing - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

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

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





Autor: Leyang Yan 1, Hui Zhang 1 and Peiqing Ye 1,2,*

Fuente: http://mdpi.com/



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