AbstractA 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 microphone 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.

中文翻译：

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使用虚拟错误麦克风主动控制乘用车发动机声音质量

摘要 本文研究了一种利用虚拟误差麦克风（VEM）主动控制车厢内声音质量的新算法。众所周知，主动声音质量控制 (ASQC) 可以通过消除隆隆声并同时增强某些发动机命令声音来改善机舱中的发动机声音。本研究中基于 VEM 的 ASQC (VEM-ASQC) 算法旨在将在误差麦克风位置形成的受控声音区域重新定位到虚拟误差麦克风所在的驾驶员耳朵位置。由于驾驶员耳朵旁边的误差麦克风会阻止驾驶员头部的自由移动，因此误差麦克风可以放置在驾驶室天花板的正下方。预先设计了一个目标配置文件，其中包含从 C2 到 C6 的九个发动机阶次的声级（dB），具有半阶间隔。当发动机转速从 1000 转至 4800 RPM 时，在实际汽车的空档模式下进行实时控制实验。实验结果表明，VEM-ASQC 算法的性能达到了要求在小误差内的音质。因此，VEM-ASQC 算法可以通过减少由于驾驶员耳朵和误差麦克风之间的距离引起的退化效应而应用于乘用车的实际实现。