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中南大学学报(英文版)

Journal of Central South University

Vol. 23    No. 1    January 2016

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Filtering algorithm and direction identification inrelative position estimation based on induction loop-cable
DOU Feng-shan(窦峰山), DAI Chun-hui(戴春辉), XIE Yun-de(谢云德)

College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China

Abstract:A filtering algorithm and direction identification method are presented for the positioning system of the mid-speed maglev train. Considering the special structure of the mid-speed maglev train, the ground position estimation method is adopted for its traction system. As the train is running, the induction loop-cable receives the signal sent by the on-board antenna to detect the position and direction of the train. But the height of the on-board antenna relative to the loop-cable is highly vulnerable to the change of the suspension height and the magnetic field produced by the traction during traveling, which may lead to amplitude fluctuation of the received signal. Consequently, the position estimation may be inaccurate. Therefore, a discrete second-order nonlinear track- differentiator is proposed based on the boundary characteristic curves, and the new differentiator could also extract the running direction of the train for the traction system. The experimental results show that the tracking differentiator can effectively filter out the signal interference and can provide accurate direction signal.

 

Key words: maglev train; positioning system; loop-cable; tracking-differentiator (TD); direction identification

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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