道路噪声主动控制中参考传感器快速优化配置研究

IF 0.3 4区 工程技术 Q4 ACOUSTICS
Xiaolong Li, Chihua Lu, Wan Chen, Yawei Zhu, Can Cheng
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引用次数: 0

摘要

主动道路噪声控制(ARNC)系统的降噪性能很大程度上取决于参考传感器的位置。通常,通过计算所有可能的参考信号组合与道路噪声之间的多重相干函数(MCF)来评估传感器的最佳位置。然而,当候选位置数量较大时,这种试错方法变得耗时。传递路径分析法可以快速选择传感器的最佳位置,但精度较低。因此,本文提出了两种快速最优传感器放置(FOSP)方法,即Wiener filter (WF)-FOSP和MCF-FOSP。在这两种方法中,传感器迭代扩展到期望的数量,并且每个增加的传感器最大化该迭代回路的预测降噪。基于实测信号进行了大量的ARNC仿真,以说明所提出的两种方法在效率和精度方面的性能。结果表明,WF-FOSP方法具有最佳的综合性能。一种工况的数据分析时间为3分钟,相对于基准的绝对误差在5%以内。此外,还讨论了两种方案,以获得一组符合不同工况降噪要求的传感器位置。在四种工作条件下,传感器位置可以实现7.29 dB(a)的最大平均降噪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on fast optimal reference sensor placement in active road noise control
The noise reduction performance of the active road noise control (ARNC) system highly depends on the location of the reference sensors. Generally, the optimal sensor locations are evaluated by calculating the multiple coherence function (MCF) between all possible reference signal combinations with road noise. However, this trial-and- error method becomes time-consuming when the number of candidate locations is large. The transfer path analysis method can select the optimal sensor locations quickly while with low accuracy. Therefore, this article proposes two fast optimal sensor placement (FOSP) methods, namely, Wiener filter (WF)-FOSPand the MCF-FOSP, respectively. In both methods, the sensors are iteratively extended to the desired number, and each added sensor maximizes the predicted noise reduction of this iteration loop. Numerous ARNC simulations based on measured signals are conducted to illustrate the performance of the proposed two methods in terms of efficiency and accuracy. The results demonstrate that the WF-FOSP method provides the best comprehensive performance. The data analysis for one operating condition takes three minutes, and the absolute error is within 5% with respect to the benchmark. In addition, two schemes are discussed to obtain a set of sensor locations compatible with the noise reduction requirement of different operating conditions. The sensor locations can achieve a maximum average noise reduction of 7.29 dB(A) under four operating conditions.
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来源期刊
Noise Control Engineering Journal
Noise Control Engineering Journal 工程技术-工程:综合
CiteScore
0.90
自引率
25.00%
发文量
37
审稿时长
3 months
期刊介绍: NCEJ is the pre-eminent academic journal of noise control. It is the International Journal of the Institute of Noise Control Engineering of the USA. It is also produced with the participation and assistance of the Korean Society of Noise and Vibration Engineering (KSNVE). NCEJ reaches noise control professionals around the world, covering over 50 national noise control societies and institutes. INCE encourages you to submit your next paper to NCEJ. Choosing NCEJ: Provides the opportunity to reach a global audience of NCE professionals, academics, and students; Enhances the prestige of your work; Validates your work by formal peer review.
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