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Cluster Computing
Published in: Cluster Computing 3/2019

26-09-2017

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

Author: Zhi-Zhou Zhang

Published in: Cluster Computing | Special Issue 3/2019

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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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Metadata
Title
Adaptive notch filter design for levitation sensing system based on vibration computation
Author
Zhi-Zhou Zhang
Publication date
26-09-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1206-8

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