Switching Algorithm for Maglev Train Double-Modular Redundant Positioning Sensors

Sensors

Ning He²  Zhiqiang Long¹ 

[1] College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China;

关键词: maglev train;    positioning sensor;    switching algorithm;    wavelet analysis;    adaptive prediction;   

DOI  :  10.3390/s120811294

来源: mdpi

【 摘 要 】

High-resolution positioning for maglev trains is implemented by detecting the tooth-slot structure of the long stator installed along the rail, but there are large joint gaps between long stator sections. When a positioning sensor is below a large joint gap, its positioning signal is invalidated, thus double-modular redundant positioning sensors are introduced into the system. This paper studies switching algorithms for these redundant positioning sensors. At first, adaptive prediction is applied to the sensor signals. The prediction errors are used to trigger sensor switching. In order to enhance the reliability of the switching algorithm, wavelet analysis is introduced to suppress measuring disturbances without weakening the signal characteristics reflecting the stator joint gap based on the correlation between the wavelet coefficients of adjacent scales. The time delay characteristics of the method are analyzed to guide the algorithm simplification. Finally, the effectiveness of the simplified switching algorithm is verified through experiments.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.