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磁悬浮列车双模块冗余定位传感器的切换算法。

Switching algorithm for maglev train double-modular redundant positioning sensors.

机构信息

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

出版信息

Sensors (Basel). 2012;12(8):11294-306. doi: 10.3390/s120811294. Epub 2012 Aug 15.

DOI:10.3390/s120811294
PMID:23112657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3472885/
Abstract

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.

摘要

高速磁浮列车的高精度定位是通过检测沿轨道铺设的长定子上的齿槽结构来实现的,但长定子节段之间存在较大的接头间隙。当定位传感器位于大接头间隙下方时,其定位信号将失效,因此在系统中引入了双模块冗余定位传感器。本文研究了这些冗余定位传感器的切换算法。首先,将自适应预测应用于传感器信号。利用预测误差来触发传感器切换。为了提高切换算法的可靠性,在不削弱反映定子接头间隙信号特征的基础上,基于相邻尺度小波系数之间的相关性,引入小波分析来抑制测量干扰。分析了该方法的时滞特性,以指导算法简化。最后,通过实验验证了简化切换算法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/ae3e748225c0/sensors-12-11294f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/eb043241de4f/sensors-12-11294f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/fd7733255cf2/sensors-12-11294f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/bf4b74ae8631/sensors-12-11294f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/61a285a7fb16/sensors-12-11294f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/ae3e748225c0/sensors-12-11294f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/eb043241de4f/sensors-12-11294f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/fd7733255cf2/sensors-12-11294f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/bf4b74ae8631/sensors-12-11294f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/61a285a7fb16/sensors-12-11294f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e4/3472885/ae3e748225c0/sensors-12-11294f9.jpg

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本文引用的文献

1
A high precision position sensor design and its signal processing algorithm for a maglev train.一种用于磁悬浮列车的高精度位置传感器设计及其信号处理算法。
Sensors (Basel). 2012;12(5):5225-45. doi: 10.3390/s120505225. Epub 2012 Apr 26.
2
Research on the filtering algorithm in speed and position detection of maglev trains.磁悬浮列车速度与位置检测中的滤波算法研究。
Sensors (Basel). 2011;11(7):7204-18. doi: 10.3390/s110707204. Epub 2011 Jul 14.
3
Non-destructive techniques based on eddy current testing.基于涡流检测的无损检测技术。
Sensors (Basel). 2011;11(3):2525-65. doi: 10.3390/s110302525. Epub 2011 Feb 28.