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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 relationship between the electrical phase angle and the tooth-slot structure.
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f2-sensors-12-11294: The relationship between the electrical phase angle and the tooth-slot structure.

Mentions: A magnetic pole period of the 3-phased windings contains six tooth-slot periods as shown in Figure 1(b). Thus, the positioning in a tooth-slot period can be denoted by an electrical phase angle between 0° and 60°, as shown in Figure 2.


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

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

The relationship between the electrical phase angle and the tooth-slot structure.
© Copyright Policy
Related In: Results  -  Collection

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

f2-sensors-12-11294: The relationship between the electrical phase angle and the tooth-slot structure.
Mentions: A magnetic pole period of the 3-phased windings contains six tooth-slot periods as shown in Figure 1(b). Thus, the positioning in a tooth-slot period can be denoted by an electrical phase angle between 0° and 60°, as shown in Figure 2.

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.