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使用虚拟传感器在自由场中进行有源噪声控制。

Active noise control in a free field with virtual sensors.

作者信息

Kestell C D, Cazzolato B S, Hansen C H

机构信息

Department of Mechanical Engineering, University of Adelaide, South Australia, Australia.

出版信息

J Acoust Soc Am. 2001 Jan;109(1):232-43. doi: 10.1121/1.1326950.

DOI:10.1121/1.1326950
PMID:11206151
Abstract

The zone of local control around a "virtual energy density sensor" is compared with that offered by an actual energy density sensor, a single microphone, and a virtual microphone. Intended as an introduction to the concept of forward difference prediction and a precursor to evaluating the virtual sensor control algorithms in damped enclosures, this paper investigates an idealized scenario of a single primary sound source in a free-field environment. An analytical model is used to predict the performance of the virtual error sensors and compare their control performance with their physical counterparts. The model is then experimentally validated. The model shows that in general the virtual energy density sensor outperforms the actual energy density sensor, the actual microphone, and the virtual microphone in terms of centering a practically sized zone of local control around an observer who is remotely located from any physical sensors. However, in practice, the virtual sensor algorithms are shown to be sensitive (by varying degrees) to short wavelength spatial pressure variations of the primary and secondary sound fields.

摘要

将“虚拟能量密度传感器”周围的局部控制区域与实际能量密度传感器、单个麦克风和虚拟麦克风所提供的区域进行比较。作为前向差分预测概念的引入以及评估阻尼封闭空间中虚拟传感器控制算法的前奏,本文研究了自由场环境中单个主声源的理想化场景。使用分析模型来预测虚拟误差传感器的性能,并将其控制性能与其物理对应物进行比较。然后对该模型进行实验验证。该模型表明,一般而言,在围绕远离任何物理传感器的观察者定位实际尺寸的局部控制区域方面,虚拟能量密度传感器优于实际能量密度传感器、实际麦克风和虚拟麦克风。然而,在实际中,虚拟传感器算法被证明对主声场和次生声场的短波长空间压力变化(程度不同)敏感。

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