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THE DESIGN OF SYNTHESIZED STRUCTURAL ACOUSTIC SENSORS FOR ACTIVE CONTROL OF INTERIOR NOISE WITH EXPERIMENTAL VALIDATION

机译:实验验证主动控制内部噪声的合成结构声传感器的设计

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摘要

In this paper, the feasibility of using synthesized structural acoustic sensors (SSAS) for active noise control inside irregularly shaped enclosures is investigated. A SSAS consists of a cluster of inter-connected discrete PVDF elements, located on the surface of a vibrating structure enclosing a sound field. An optimal design ensures the sensor output to be directly related to the acoustical potential energy inside the enclosure. Hence, synthesized structural acoustic sensors can provide error signals for an active noise control system, and the use of microphones inside the enclosure can be avoided. A cylindrical shell with a floor partition, which can be used to model an aircraft cabin, is used as a test case. PZT actuators are used as control actuators. Both SISO (single input and single output) and MIMO (multi-input and multi-output) control systems are optimally designed using Genetic Algorithms and implemented with a Filtered-X Feedforward LMS (least-mean-square) controller. Their control performances are evaluated with different types of disturbances. It is shown that with optimally designed SSAS, an active structural acoustic control system can effectively reduce noise inside the enclosures without using any acoustic transducers.
机译:在本文中,研究了使用合成结构声学传感器(SSAS)进行不规则形状的外壳内主动噪声控制的可行性。 SSAS由相互连接的离散PVDF元素组成,这些元素位于包围声场的振动结构的表面上。最佳设计可确保传感器输出与外壳内部的声势能直接相关。因此,合成的结构声传感器可以为主动噪声控制系统提供误差信号,并且可以避免在外壳内部使用麦克风。带有地板隔板的圆柱形外壳可以用作飞机机舱的模型。 PZT执行器用作控制执行器。 SISO(单输入和单输出)和MIMO(多输入和多输出)控制系统均使用遗传算法进行了优化设计,并使用Filtered-X前馈LMS(最小均方)控制器实现。通过不同类型的干扰来评估其控制性能。结果表明,通过优化设计的SSAS,有源结构声学控制系统无需使用任何声换能器就可以有效降低机柜内部的噪声。

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