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

Sensors

Chunhui Dai²  Zhiqiang Long¹  Yunde Xie² 

[1] College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China;

关键词: permanent magnet electrodynamic suspension train;    position sensor;    speed and position detection;    track-differentiator;    filtering character;   

DOI  :  10.3390/s110707204

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.