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首页> 外文期刊>Mechanical systems and signal processing >An active noise control casing using the multi-channel feedforward control system and the relative path based virtual sensing method
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An active noise control casing using the multi-channel feedforward control system and the relative path based virtual sensing method

机译：一种有源噪声控制壳体，使用多通道前馈控制系统和基于相对路径的虚拟传感方法

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摘要

Active noise control (ANC) is a noise reduction technique based on acoustic wave superposition. The sound pressure level is reduced in a zone of quiet (ZoQ) by an anti-noise wave transmitted from the control source. The anti-noise wave has the same amplitude and opposed phase of the noise wave. An error microphone is conventionally placed at the target ZoQ to monitor the sound pressure level, forming a closed-loop control in an ANC system. However, due to application constraints or physical limitations, the error microphone sometimes cannot be placed at the target ZoQ. Virtual sensing (VS) methods are developed for such situations. There are two most commonly used VS methods. They are the auxiliary filter based VS (AF-VS) method and the remote microphone based VS (RM-VS) method. The AF-VS method preserves the information regarding the optimal control filter that can achieve the maximum noise reduction at the target ZoQ, The RM-VS method estimates the disturbance signal at the target ZoQ based on remote measurements. In this paper, we propose a new VS method, the relative path based VS (RP-VS) method, which estimates both the disturbance signal and the anti-noise signal at the target ZoQ. A theoretical analysis is provided to demonstrate that under different assumptions of varying acoustic paths, the RP-VS method can behave in the same way as the AF-VS method or the RM-VS method. Simulation results validate this theoretical analysis and demonstrate that improved noise reduction can be achieved by the RP-VS method when the noise frequency varies. Lastly, an ANC casing is built up with the RP-VS method to reduce a varying broadband fan noise. The RP-VS method is validated to be as effective as the AF-VS method and the RM-VS method with the implementation of the ANC casing.
机译：主动噪声控制（ANC）是一种基于声波叠加的降噪技术。通过从控制源传输的抗噪声波在安静（ZOQ）区域中，声压水平降低。抗噪声波具有相同的振幅和相对的噪声阶段。误差麦克风通常放置在目标ZOQ上以监测声压级，在ANC系统中形成闭环控制。但是，由于应用限制或物理限制，错误麦克风有时不能放置在目标zoq上。为这些情况开发了虚拟感测（VS）方法。有两个最常用的VS方法。它们是基于辅助滤波器的VS（AF-VS）方法和基于远程麦克风的VS（RM-VS）方法。 AF-VS方法保留关于最佳控制滤波器的信息，该信息可以在RM-VS方法基于远程测量的基于远程测量来估计目标ZOQ处的干扰信号。在本文中，我们提出了一种新的VS方法，基于相对路径的VS（RP-VS）方法，其估计了目标ZOQ处的扰动信号和抗噪声信号。提供了理论分析以证明在不同声学路径的不同假设下，RP-VS方法可以以与AF-VS方法或RM-VS方法相同的方式。仿真结果验证了该理论分析，并证明当噪声频率变化时，可以通过RP-VS方法实现改善的降噪。最后，通过RP-VS方法建立了ANC外壳，以减少不同的宽带风扇噪声。 RP-VS方法被验证为与AF-VS方法和RM-VS方法一起有效，通过实现ANC壳体。

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  • 来源
    《Mechanical systems and signal processing》 |2020年第10期|106878.1-106878.17|共17页
  • 作者

    Chuang Shi; Zhuoying Jia; Rong Xie; Huiyong Li;

  • 作者单位

    School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China;

    School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China;

    School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China;

    School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China;

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

    Active noise control; Multi-channel feedforward control; Virtual sensing;

    机译：主动噪声控制;多通道馈电控制;虚拟感应;

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