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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.


(a) Sketch map of a high speed maglev train; (b) Sketch map of the substructure of a high speed maglev train.
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f1-sensors-12-11294: (a) Sketch map of a high speed maglev train; (b) Sketch map of the substructure of a high speed maglev train.

Mentions: The suspension function of high speed maglev trains is carried out by the electromagnetic attractive force between the electromagnets and the rail, and the train is driven by a linear synchronous motor [1–3]. The 3-phased primary windings are inlaid in the slots of the long stator fixed along the rail, and the secondary windings are the electromagnets shown in Figure 1. In order to implement high efficient synchronous traction, the traction system needs the precise relative position between the electromagnets and the long stator.


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

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

(a) Sketch map of a high speed maglev train; (b) Sketch map of the substructure of a high speed maglev train.
© Copyright Policy
Related In: Results  -  Collection

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

f1-sensors-12-11294: (a) Sketch map of a high speed maglev train; (b) Sketch map of the substructure of a high speed maglev train.
Mentions: The suspension function of high speed maglev trains is carried out by the electromagnetic attractive force between the electromagnets and the rail, and the train is driven by a linear synchronous motor [1–3]. The 3-phased primary windings are inlaid in the slots of the long stator fixed along the rail, and the secondary windings are the electromagnets shown in Figure 1. In order to implement high efficient synchronous traction, the traction system needs the precise relative position between the electromagnets and the long stator.

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.