An Acoustic Boundary Control Method for Suppressing Structural Sound Radiation

在直升机、固定翼飞机和陆地车辆等封闭环境中，降低内部声辐射是一个非常重要的问题。处理这个问题有两种主流技术。一种是使用扬声器的主动降噪方法（ANC），另一种是通过结构控制（通常称为主动结构声学控制或ASAC）来减少声辐射的策略。本研究项目涉及声边界控制方法的数学理论的发展，并分析和实验证明了一种新的声边界驱动方法相对于现有方法的优势。具体研究任务包括：声学边界控制的空间特性研究；空间构型优化选择的神经网络研究实现声学边界控制的传感和驱动装置硬件原型的开发并结合声边界控制策略对现有的前馈自适应和反馈控制算法进行了评价。从这个研究项目中获得的结果将导致消除车辆内部噪声技术的发展，并产生重要的理论基础，这将使减少外部噪声辐射的技术发展成为可能。

Reduction of interior sound radiation in enclosed environments such as in helicopters, fixed-wing aircraft and land vehicles is a very important problem. There are two mainstream techniques for dealing with this problem. One is the active noise cancellation method (ANC) using loudspeakers, and the other is sound radiation reduction strategy via structural controls (often called active structural acoustic control or ASAC). This research project deals with the development of a mathematical theory for the acoustic boundary control method and to analytically and experimentally demonstrate the advantages of a new acoustic boundary actuation method over the existing ones. The specific research tasks include a study of the spatial characteristics of acoustic boundary control; development of a neural network for selecting optimal spatial configurations; development of hardware prototypes of sensing and actuation devices for implementing acoustic boundary control; and evaluation of existing feedforward adaptive and feedback control algorithms in conjunction with the acoustic boundary control strategy. The results obtained from this research project will lead to the development of technologies for eliminating interior noise of the vehicles, and the generation of important theoretical groundwork that will enable technology development for reducing exterior noise radiation.