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Adaptive notch filter design for levitation sensing system based on vibration computation

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Abstract

In this study, to suppress the vehicle-guideway coupled vibration with variable frequencies, an adaptive notch filter is designed for a maglev train on different elastic supporting beams at a low speed. By the analysis of the vibration signals from sensors of suspension control system, the effective frequency band of the vibration signals is determined firstly. Then the vibration frequency is real-time searched and identified with high resolution as the center frequency of a small effective bandwidth notch filter. Finally, the designed adaptive notch filter with the identified signal frequency, which always runs automatically, is used in a closed-loop control system of permanent-electro magnetic suspension-type maglev train. Theoretical analysis and simulation experiments show that the adaptive notch filter can restrain the resonance phenomenon on different elastic supporting beams effectively.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (61304036), and China Postdoctoral Science Foundation (2014M562651, 2015T81132), the Natural Science Foundation of Hunan Province, China (2015JJ3019). The authors wish to thank the anonymous reviewers for their efforts in providing constructive comments that have helped to significantly enhance the quality of this paper.

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  1. The College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, 410073, Hunan, People’s Republic of China

    Zhi-Zhou Zhang

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  1. Zhi-Zhou Zhang
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Correspondence to Zhi-Zhou Zhang.

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Zhang, ZZ. Adaptive notch filter design for levitation sensing system based on vibration computation. Cluster Comput 22 (Suppl 3), 5257–5267 (2019). https://doi.org/10.1007/s10586-017-1206-8

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  • DOI: https://doi.org/10.1007/s10586-017-1206-8

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