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Active Control of Engine Sound Quality in a Passenger Car Using a Virtual Error Microphone

机译:使用虚拟错误麦克风在乘用车中的发动机音质的主动控制

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A new algorithm for controlling sound quality actively in a car cabin using a virtual error microphone (VEM) is considered in this paper. Active sound quality control (ASQC) is known to improve engine sound in a cabin by canceling boomings and enhancing some engine order sound at the same time. The VEM based ASQC (VEM-ASQC) algorithm in this study is devised to relocate a controlled sound zone formed at an error microphone position to the driver's ear position where a virtual error micro-, phone locates. Since the error microphone just by the driver's ear can block free movement of the driver's head, the error microphone can be positioned just beneath the ceiling in a cabin. A target profile containing the sound level in dB of the nine engine orders from C2 to C6 with the half-order interval was pre-designed. Control experiments in real-time were carried out at the neutral mode of an actual car when the engine speed was swept from 1000 to 4800 RPM. Experiment results showed that the performance of the VEM-ASQC algorithm was achieved required sound quality within small errors. Therefore, the VEM-ASQC algorithm can be applied to the practical implementation in a passenger car by reducing the degradation effect due to the distance between the driver's ear and the error microphone.
机译:本文考虑了一种用于使用虚拟误差麦克风(VEM)在车厢中主动控制声音质量的新算法。已知主动音质控制(ASQC)通过取消兴高采烈,并同时增强一些发动机订单声音,从机舱内改善发动机声音。本研究中的基于VEM的ASQC(VEM-ASQC)算法被设计为重新定位在误差麦克风位置的受控声带,到驾驶员的耳位置,其中虚拟错误微量,电话定位。由于驾驶员耳机的错误麦克风可以阻挡驾驶员头部的自由运动,因此误差麦克风可以位于舱室中的天花板下方。预先设计了包含从C2到C6的九个发动机订单的DB中的声级的目标配置文件。当发动机速度从1000〜4800rpm扫描时,实际轿厢的中性模式进行实时对照实验。实验结果表明,VEM-ASQC算法的性能在小错误中实现了所需的音质。因此,通过降低由于驾驶员的耳朵与误差麦克风之间的距离来降低劣化效果,可以将VEM-ASQC算法应用于乘用车中的实际实现。

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