Research on the Filtering Algorithm in Speed and Position Detection of Maglev Trains
AbstractThis 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
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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.
Dai C, Long Z, Xie Y, Xue S. Research on the Filtering Algorithm in Speed and Position Detection of Maglev Trains. Sensors. 2011; 11(7):7204-7218.Chicago/Turabian Style
Dai, Chunhui; Long, Zhiqiang; Xie, Yunde; Xue, Song. 2011. "Research on the Filtering Algorithm in Speed and Position Detection of Maglev Trains." Sensors 11, no. 7: 7204-7218.