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2018 | OriginalPaper | Buchkapitel

Application of Moving Average Filter to Train’s Active Control System

verfasst von : Xu Wang, Jiaxin Ji, Peida Hu

Erschienen in: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Verlag: Springer Singapore

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Abstract

Based on the integrator drift problem of acceleration in active control system, a method using the moving average filter on the original acceleration signal was adopted, which filtered out the DC component of curve passing to ensure the active control system work properly. The principle of the moving average filter was illustrated, and some influencing factors of real-time filter were analyzed. Compensating the static error caused by the ramp function to the low frequency component, a high-pass filter with 0.2 Hz cut-off frequency was designed. Using the active control model of vehicle system, the designed filter was simulation analyzed. In addition, the filter was used to process the acceleration information measured on the actual line. The simulation and experimental results indicated that the moving average filter can effectively filter out the centrifugal acceleration of curve passing, and inhibit integral drift, without significant influence on the performance of the active control system.

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Metadaten
Titel
Application of Moving Average Filter to Train’s Active Control System
verfasst von
Xu Wang
Jiaxin Ji
Peida Hu
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7986-3_75

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