A variable step-size FxLMS algorithm for active vibration control of cantilever beam

The conventional filtered-x least mean square (FxLMS) algorithm for active vibration control (AVC) is limited by the trade-off between convergence rate and steady-state error and by its sensitivity to abrupt input changes. To address these issues, a nonlinear step-size adjustment mechanism combining a bounded hyperbolic tangent mapping with a normalized variable step-size strategy is developed, based on which a variable step-size FxLMS algorithm, termed VSS-FxtanhLMS, is proposed. The convergence properties of the algorithm are analyzed in the mean and mean-square senses. For AVC of a flexible cantilever beam, the proposed algorithm is evaluated on a co-simulation platform established using ADAMS and Simulink under single-frequency, dual-frequency, and amplitude-step excitations, and is further validated on an experimental AVC platform. Co-simulation results show that VSS-FxtanhLMS achieves the smallest steady-state error, the lowest mean squared error, and the shortest convergence time under both single-frequency and dual-frequency excitations, while remaining convergent under amplitude-step excitation. In experiments, compared with FxasinhLMS, the strongest competing method, VSS-FxtanhLMS reduces the steady-state error by 17.48%, shortens the convergence time by 33.33%, and reduces the power spectral density by 1.72 dB/Hz. These results indicate that VSS-FxtanhLMS achieves improved steady-state accuracy, convergence behavior, and robustness under both simulation and practical conditions.

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Publication Details

Journal
Journal of low frequency noise, vibration and active control
Published
2026-07-17
DOI
https://doi.org/10.1177/14613484261470208
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
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article

A variable step-size FxLMS algorithm for active vibration control of cantilever beam

Xiaoyan Chen, Jinhua Jiang, Qian Wang, Zimei Tu et al.
Journal of low frequency noise, vibration and active control
Advanced Adaptive Filtering Techniques
article

A variable step-size FxLMS algorithm for active vibration control of cantilever beam

Xiaoyan Chen, Jinhua Jiang, Qian Wang, Zimei Tu, Yihan Yan
article en

Abstract

The conventional filtered-x least mean square (FxLMS) algorithm for active vibration control (AVC) is limited by the trade-off between convergence rate and steady-state error and by its sensitivity to abrupt input changes. To address these issues, a nonlinear step-size adjustment mechanism combining a bounded hyperbolic tangent mapping with a normalized variable step-size strategy is developed, based on which a variable step-size FxLMS algorithm, termed VSS-FxtanhLMS, is proposed. The convergence properties of the algorithm are analyzed in the mean and mean-square senses. For AVC of a flexible cantilever beam, the proposed algorithm is evaluated on a co-simulation platform established using ADAMS and Simulink under single-frequency, dual-frequency, and amplitude-step excitations, and is further validated on an experimental AVC platform. Co-simulation results show that VSS-FxtanhLMS achieves the smallest steady-state error, the lowest mean squared error, and the shortest convergence time under both single-frequency and dual-frequency excitations, while remaining convergent under amplitude-step excitation. In experiments, compared with FxasinhLMS, the strongest competing method, VSS-FxtanhLMS reduces the steady-state error by 17.48%, shortens the convergence time by 33.33%, and reduces the power spectral density by 1.72 dB/Hz. These results indicate that VSS-FxtanhLMS achieves improved steady-state accuracy, convergence behavior, and robustness under both simulation and practical conditions.

Journal of low frequency noise, vibration and active control
Shanghai Polytechnic University (CN)
Openalex Percentile: Top 10%
Advanced Adaptive Filtering Techniques
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