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

He N, Long Z, Xue S - Sensors (Basel) (2012)

Bottom Line: The prediction errors are used to trigger sensor switching.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.

View Article: PubMed Central - PubMed

Affiliation: College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China. hening0606@126.com

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.

No MeSH data available.


The flow chart of the switching algorithm.
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f11-sensors-12-11294: The flow chart of the switching algorithm.

Mentions: The sensors are connected with an upper computer via communication cables, and upload the phase signal via RS485 interface in real time. The upper computer identifies the signal characteristics due to the joint gaps based on the correlation between the wavelet coefficients of adjacent scales and then implement the sensor switching. The flow chart of the switching algorithm of the upper computer is shown in Figure 11.


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

He N, Long Z, Xue S - Sensors (Basel) (2012)

The flow chart of the switching algorithm.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472885&req=5

f11-sensors-12-11294: The flow chart of the switching algorithm.
Mentions: The sensors are connected with an upper computer via communication cables, and upload the phase signal via RS485 interface in real time. The upper computer identifies the signal characteristics due to the joint gaps based on the correlation between the wavelet coefficients of adjacent scales and then implement the sensor switching. The flow chart of the switching algorithm of the upper computer is shown in Figure 11.

Bottom Line: The prediction errors are used to trigger sensor switching.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.

View Article: PubMed Central - PubMed

Affiliation: College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China. hening0606@126.com

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.

No MeSH data available.