New Multi-Channel VSMFxLMS Algorithm for Vibration Reduction of Gear Systems

Abstract At present, the active control of gear vibration mostly relies on existing algorithms. In order to achieve effective vibration reduction of the gear system, particularly during the vibration process, this paper proposes a multi-channel VSMFxLMS algorithm based on the FxLMS algorithm. This novel approach takes into account the time-varying nature of the vibration signal during gear vibration. Adaptive filter power coefficients are updated in a skip-tongue variable-step manner using momentum factors. Firstly, the paper establishes the dynamics model of the gear system and analyzes the nonlinear dynamic characteristics of the system. It then examines the vibration damping effect of the FxLMS algorithm and analyzes its performance under different gear system motion states, considering different step lengths and momentum factors. Lastly, the proposed VSMFxLMS algorithm is compared with the FxLMS algorithm, highlighting the superiority of the former. Overall, this research highlights the potential of a multi-channel VSMFxLMS algorithm in reducing vibrations in gear systems. The study optimizes the performance of gear systems while using advanced control strategies.

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Institutions

Publication Details

Journal
Chinese Journal of Mechanical Engineering
Published
2024-10-12
DOI
https://doi.org/10.1186/s10033-024-01112-7
Citations
2
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.43

Funders

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article

New Multi-Channel VSMFxLMS Algorithm for Vibration Reduction of Gear Systems

Zhibo Geng, Yun Kong, Yingjian Wang, Ke Xiao et al.
2 citations
Chinese Journal of Mechanical Engineering
Gear and Bearing Dynamics Analysis
0.43
article

New Multi-Channel VSMFxLMS Algorithm for Vibration Reduction of Gear Systems

Zhibo Geng, Yun Kong, Yingjian Wang, Ke Xiao, Min Chen
article en
2 citations

Abstract

Abstract At present, the active control of gear vibration mostly relies on existing algorithms. In order to achieve effective vibration reduction of the gear system, particularly during the vibration process, this paper proposes a multi-channel VSMFxLMS algorithm based on the FxLMS algorithm. This novel approach takes into account the time-varying nature of the vibration signal during gear vibration. Adaptive filter power coefficients are updated in a skip-tongue variable-step manner using momentum factors. Firstly, the paper establishes the dynamics model of the gear system and analyzes the nonlinear dynamic characteristics of the system. It then examines the vibration damping effect of the FxLMS algorithm and analyzes its performance under different gear system motion states, considering different step lengths and momentum factors. Lastly, the proposed VSMFxLMS algorithm is compared with the FxLMS algorithm, highlighting the superiority of the former. Overall, this research highlights the potential of a multi-channel VSMFxLMS algorithm in reducing vibrations in gear systems. The study optimizes the performance of gear systems while using advanced control strategies.

Chinese Journal of Mechanical EngineeringVol. 37(1)
Beijing Institute of Technology (CN), University of Electronic Science and Technology of China (CN), Chongqing University (CN), Yangtze River Delta Physics Research Center (China) (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Young Elite Scientists Sponsorship Program by Tianjin
Affordable and clean energy
Openalex Percentile: Top 42%
Gear and Bearing Dynamics Analysis
0.43
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