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Switching Algorithm for Maglev Train Double-Modular Redundant Positioning Sensors
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China
* Author to whom correspondence should be addressed.
Received: 28 June 2012; in revised form: 30 July 2012 / Accepted: 1 August 2012 / Published: 15 August 2012
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.
Keywords: maglev train; positioning sensor; switching algorithm; wavelet analysis; adaptive prediction
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MDPI and ACS Style
He, N.; Long, Z.; Xue, S. Switching Algorithm for Maglev Train Double-Modular Redundant Positioning Sensors. Sensors 2012, 12, 11294-11306.
He N, Long Z, Xue S. Switching Algorithm for Maglev Train Double-Modular Redundant Positioning Sensors. Sensors. 2012; 12(8):11294-11306.
He, Ning; Long, Zhiqiang; Xue, Song. 2012. "Switching Algorithm for Maglev Train Double-Modular Redundant Positioning Sensors." Sensors 12, no. 8: 11294-11306.