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An anti-interference variable-step adaptive algorithm and its application in active vibration control

机译:抗干扰可变步长自适应算法及其在主动振动控制中的应用

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摘要

Noise is unavoidable in a vibration control system due to the complexity of the actual application environment and the measuring limitation of sensing devices. In this paper, the jamming effects on the convergence process is analyzed and then we propose a new variable-step adaptive FxLMS algorithm which can reduce the negative effects of interference. The new algorithm can not only solve the problem in active vibration control (AVC) properly, but also decrease the misadjustment without slowing down the convergence rate. Simulation and experimental results show that the improved algorithm can effectively reduce the noise interference, and improve the application level of FxLMS algorithms in the case of vibration control.
机译:由于实际应用环境的复杂性和传感设备的测量限制,在振动控制系统中不可避免地会产生噪声。本文分析了干扰对收敛过程的影响,然后提出了一种新的可变步长自适应FxLMS算法,可以减少干扰的负面影响。新算法不仅可以适当地解决主动振动控制(AVC)中的问题,而且可以在不降低收敛速度的情况下减少失调。仿真和实验结果表明,改进后的算法可以有效降低噪声干扰,提高FxLMS算法在振动控制中的应用水平。

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  • 来源
  • 会议地点 Harbin(CN)
  • 作者单位

    Institute of Noise vibration, National Key Laboratory on Ship Vibration Noise, Naval University of Engineering, Wuhan, China;

    Institute of Noise vibration, National Key Laboratory on Ship Vibration Noise, Naval University of Engineering, Wuhan, China;

    Institute of Noise vibration, National Key Laboratory on Ship Vibration Noise, Naval University of Engineering, Wuhan, China;

    Institute of Noise vibration, National Key Laboratory on Ship Vibration Noise, Naval University of Engineering, Wuhan, China;

    Ocean Electromagnetic Environment Institute, Naval University of Engineering, Wuhan, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Jamming;

    机译:干扰;

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