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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Acknowledgements
This work is partially supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2015BAG12B01).
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Wang, X., Ji, J., Hu, P. (2018). Application of Moving Average Filter to Train’s Active Control System. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_75
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DOI: https://doi.org/10.1007/978-981-10-7986-3_75
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