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Sensors 2011, 11(7), 7204-7218; doi:10.3390/s110707204

Research on the Filtering Algorithm in Speed and Position Detection of Maglev Trains

College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China
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Received: 4 May 2011 / Revised: 30 June 2011 / Accepted: 13 July 2011 / Published: 14 July 2011
(This article belongs to the Section Physical Sensors)
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Abstract

This paper introduces in brief the traction system of a permanent magnet electrodynamic suspension (EDS) train. The synchronous traction mode based on long stators and track cable is described. A speed and position detection system is recommended. It is installed on board and is used as the feedback end. Restricted by the maglev train’s structure, the permanent magnet electrodynamic suspension (EDS) train uses the non-contact method to detect its position. Because of the shake and the track joints, the position signal sent by the position sensor is always aberrant and noisy. To solve this problem, a linear discrete track-differentiator filtering algorithm is proposed. The filtering characters of the track-differentiator (TD) and track-differentiator group are analyzed. The four series of TD are used in the signal processing unit. The result shows that the track-differentiator could have a good effect and make the traction system run normally. View Full-Text
Keywords: permanent magnet electrodynamic suspension train; position sensor; speed and position detection; track-differentiator; filtering character permanent magnet electrodynamic suspension train; position sensor; speed and position detection; track-differentiator; filtering character
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Dai, C.; Long, Z.; Xie, Y.; Xue, S. Research on the Filtering Algorithm in Speed and Position Detection of Maglev Trains. Sensors 2011, 11, 7204-7218.

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