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一种用于降低车辆驾驶室内道路噪声的混合有源噪声控制系统。

A Hybrid Active Noise Control System for the Attenuation of Road Noise Inside a Vehicle Cabin.

作者信息

Jia Zibin, Zheng Xu, Zhou Quan, Hao Zhiyong, Qiu Yi

机构信息

College of Energy Engineering, Zhejiang University, Hangzhou 310027, China.

出版信息

Sensors (Basel). 2020 Dec 15;20(24):7190. doi: 10.3390/s20247190.

DOI:10.3390/s20247190
PMID:33333927
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7765402/
Abstract

This paper proposed a local active control method for the reduction of road noise inside a vehicle cabin. A multichannel simplified hybrid active noise control (sHANC) system was first developed and applied to the rear left seat of a large sport utility vehicle (SUV). The attenuation capability of the sHANC system was investigated through simulations, using reference signals provided by accelerometers on the suspensions and bodywork of the vehicle and microphones on the floor of cabin, respectively. It was shown that compared to the traditional feedforward system, the sHANC system using either vibrational or acoustical reference signals can produce a significant suppression of the narrowband peak noise between 75 and 80 Hz, but the system lost the control capability in a range of 100-500 Hz when the acoustic signals were used as references. To reduce the practical implementation costs while maintaining excellent reduction performance, a modified simplified hybrid ANC (msHANC) system was further proposed, in which combined vibrational and acoustical signals were used as reference signals. The off-line analyses showed that four reference accelerometers can be substituted by ten microphones without compromising attenuation performance, with 3.7 dBA overall noise reduction being achieved. The effect of delays on the reduction performance of msHANC system was also investigated. The result showed that the msHANC system was more sensitive to the delays compared to the sHANC system if using only vibrational reference signals.

摘要

本文提出了一种用于降低汽车驾驶室内道路噪声的局部主动控制方法。首先开发了一种多通道简化混合主动噪声控制(sHANC)系统,并将其应用于一款大型运动型多用途汽车(SUV)的左后座。通过仿真研究了sHANC系统的衰减能力,分别使用车辆悬架和车身加速度计以及驾驶室内地板上的麦克风提供的参考信号。结果表明,与传统前馈系统相比,使用振动或声学参考信号的sHANC系统能够显著抑制75至80 Hz之间的窄带峰值噪声,但当使用声学信号作为参考时,该系统在100 - 500 Hz范围内失去控制能力。为了在保持优异降噪性能的同时降低实际实施成本,进一步提出了一种改进的简化混合ANC(msHANC)系统,其中将振动和声学信号组合用作参考信号。离线分析表明,十个麦克风可以替代四个参考加速度计而不影响衰减性能,实现了3.7 dBA的整体降噪效果。还研究了延迟对msHANC系统降噪性能的影响。结果表明,如果仅使用振动参考信号,msHANC系统比sHANC系统对延迟更敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7d/7765402/6edff2370ae9/sensors-20-07190-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7d/7765402/32baa3b5f48a/sensors-20-07190-g007.jpg
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本文引用的文献

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The performance of active control of random noise in cars.汽车中随机噪声的主动控制性能。
J Acoust Soc Am. 2008 Apr;123(4):1838-41. doi: 10.1121/1.2836745.
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Reduction of electronic delay in active noise control systems--a multirate signal processing approach.有源噪声控制系统中电子延迟的降低——一种多速率信号处理方法。
J Acoust Soc Am. 2002 Feb;111(2):916-24. doi: 10.1121/1.1432980.
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Active control of road booming noise in automotive interiors.
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A New Proportionate Filtered-x RLS Algorithm for Active Noise Control System.一种用于有源噪声控制系统的新比例滤波-x RLS 算法。
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