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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) The scale coefficients on the scale j = 1; (b) The scale coefficients on the scale j = 2; (c) The wavelet coefficients on the scale j = 1; (d) The wavelet coefficients on the scale j = 2.
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f7-sensors-12-11294: (a) The scale coefficients on the scale j = 1; (b) The scale coefficients on the scale j = 2; (c) The wavelet coefficients on the scale j = 1; (d) The wavelet coefficients on the scale j = 2.

Mentions: The analytical results of the converted signal pha(k) based on stationary wavelet transform algorithm are shown in Figure 7. The signal is transformed on two scales (j = 1,2). Figure 7(a,b) show the scale coefficients, and Figure 7(c,d) show the wavelet coefficients.


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

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

(a) The scale coefficients on the scale j = 1; (b) The scale coefficients on the scale j = 2; (c) The wavelet coefficients on the scale j = 1; (d) The wavelet coefficients on the scale j = 2.
© Copyright Policy
Related In: Results  -  Collection

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

f7-sensors-12-11294: (a) The scale coefficients on the scale j = 1; (b) The scale coefficients on the scale j = 2; (c) The wavelet coefficients on the scale j = 1; (d) The wavelet coefficients on the scale j = 2.
Mentions: The analytical results of the converted signal pha(k) based on stationary wavelet transform algorithm are shown in Figure 7. The signal is transformed on two scales (j = 1,2). Figure 7(a,b) show the scale coefficients, and Figure 7(c,d) show the wavelet coefficients.

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.