Optimization of secondary source configuration in enclosure using plane wave decomposition
Optimization of secondary source configuration in enclosure using plane wave decomposition
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DOI：
10.1051/jnwpu/20213940794
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发表时间：
2021-08
影响因子：
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通讯作者：
Jian Xu;Kean Chen;Lei Wang;Yazhou Zhang
中科院分区：
文献类型：
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作者：
Jian Xu;Kean Chen;Lei Wang;Yazhou Zhang
有源噪声控制(ANC)系统在封闭空间中二次声源配置的优化一般只关注离散点的降噪要求。这可能会导致整个空间区域的降噪性能较差，需要提前了解误差传感器位置的信息。针对这一问题，提出了一种面向空间区域的降噪代价函数。利用封闭声场的平面波分解，得到每个候选二次源的一次场平面波和单位二次场平面波，作为配置优化的先验知识，从而形成波域ANC代价函数。优化方法采用模拟退火法。以刚壁矩形空腔为例，利用波域先验知识的解析值，首次将该优化方法与两种空域方法进行了比较。比较结果表明，与误差传感器配置信息无关，空间声势能得到较好的降低。然后通过测量随机分布的麦克风得到的波域先验知识的估计值用于优化ANC系统的配置。优化结果表明，优化后的结构对空间声势能的降噪效果要好于空域方法，但传声器的位置对降噪效果有很大影响。
The optimization of secondary source configuration for an active noise control (ANC) system in its enclosed space generally focuses on noise reduction requirements at discrete points only. This may lead to the poor noise reduction performance in the whole spatial region, and it is necessary to know the information on error sensor positions in advance. To address this problem, a cost function for spatial-region-oriented noise reduction is proposed. The plane wave decomposition of the enclosed sound field is used to obtain the primary field plane waves and the unit secondary field plane wave of each candidate secondary source as the prior knowledge for configuration optimization, so as to formulate a wave-domain ANC cost function. The optimization method adopts the simulated annealing search. Taking a rigid-walled rectangular cavity as an example, the optimization method is firstly compared with two space-domain methods by using analytic values of the wave-domain prior knowledge. The comparison results show that the better reduction of spatial acoustic potential energy can be achieved independent of the error sensor configuration information. Then the estimated values of the wave-domain prior knowledge through measuring randomly distributed microphones are used to optimize the configuration of the ANC system. The optimization results suggest that the noise reduction of spatial acoustic potential energy of the optimized configuration can be better than that of the space-domain method, but the microphone positions have a great influence on the noise reduction performance.