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DESIGN AND IMPLEMENTATION OF PASSIVE AND MULTI-CHANNEL ACTIVE NOISE TREATMENT OF A 2kW DIESEL GENERATOR

机译:2kW柴油发电机无源,多通道主动噪声处理的设计与实现

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This paper investigates the design, implementation, and performance results for acoustically treating a small, portable diesel single-cylinder generator. The emphasis is primarily on the systematic approach to employing a complete, practical noise-control treatment which is scalable to other systems. Substantial passive treatment design was required that balanced acoustic performance, machine cooling, and active noise control (ANC) source space requirements. A microphone array was used to measure the near-field sound pressure levels to obtain a full model of the complex radiated sound in the far-field using spherical harmonic decomposition. Using a genetic algorithm, this model was used to compute the optimal location for the ANC speakers, their output requirements, and numerically-predicted performance. The ANC system employed was a 4 input, 4 output selectable harmonic filtered-X least-mean-square (LMS) feed-forward algorithm utilizing virtual error sensing with all reference generation, error signal conditioning and power electronics integrated into the machine. The complete system was designed, built, and experimentally measured and shown to have performance comparable to the model predictions. Passive performance was approximately lOdBA and the ANC system provided an additional 5dBA with physical error sensors, or 2dBA with virtual-error sensors. Over the control bandwidth only, the ANC system provided 6.5dBA with physical error sensors, or 3dBA with virtual-error sensors.
机译:本文研究了声学处理小型便携式柴油单缸发电机的设计,实现和性能结果。重点主要放在采用一种完整的,实用的噪声控制处理方法的系统方法上,该方法可扩展到其他系统。需要大量的被动处理设计,以平衡声学性能,机器冷却和主动噪声控制(ANC)源空间要求。麦克风阵列用于测量近场声压级,从而使用球谐分解获得远场中复杂辐射声的完整模型。使用遗传算法,此模型用于计算ANC扬声器的最佳位置,它们的输出要求以及数字预测的性能。所采用的ANC系统是4输入,4输出可选的谐波滤波X最小均方(LMS)前馈算法,该算法利用虚拟误差感测功能,并将所有参考生成,误差信号调节和功率电子器件集成到机器中。完整的系统经过设计,构建和实验测量,并显示出与模型预测相当的性能。被动性能约为10dBA,ANC系统提供了额外的带有物理错误传感器的5dBA或带有虚拟错误传感器的2dBA。仅在控制带宽上,ANC系统为6.5dBA提供了物理错误传感器,或为3dBA提供了虚拟错误传感器。

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