声屏障和有源噪声控制声屏障

概述了声屏障降低噪声的原理和常用方法，提出了存在的不足，介绍了有源声屏障的降噪性能与发展动态，提出了进一步研究的设想。     

自适应空间有源消声中误差传声器的位置及个数优化

近年来对有源消声理论以及自适应有源消声技术的研究一直是相互独立着进行的,本文通过对自适应有源消声系统中误差传声器个数以及位置的优化选择,找到了它们两者之间的联系,并结合控制系统的性能特点给出了误差传声器个数及位置优化的方法,对影响自适应有源消声效果的因素做了分析讨论,实验验证了本文所得结论,并取得了良好的效果.     

通过压电式传感器进行简支梁声辐射有源控制

以简支梁为例,通过声辐射模态研究简支梁声辐射的有源控制。由于在中、低频时,声辐射模态对应的辐射效率随着模态阶数的增加而迅速降低。本文提出了一种新的控制策略,即通过设计特定形状的PVDF作为传感器来测量前L阶声辐射模态的伴随系数,使前L阶声辐射模态的声功率最小化。最后通过数值计算研究了控制力和传感器数目对控制效果的影响。     

声矢量阵阵元位置及幅相误差有源校正算法*

针对声矢量阵幅相误差及阵元位置误差校正问题,基于特征分解法,提出一种简单实用的有源校正算法。该方法需要合作信源的至少3个方位信息,根据声矢量阵的通道特征,利用特征分解法构造矩阵方程组,通过矩阵运算得到声矢量阵阵元位置和幅相误差参数,从而实现对声矢量阵的校正。大量计算机仿真表明该校正算法具有良好的声矢量阵阵列误差参数估计性能。     

平行声屏障的陷波模态及其插入损失优化

为了改善平行声屏障的性能,该文基于有限元仿真的方法对其陷波模态和插入损失进行了研究。其中,陷波模态是平行声屏障的固有性质,与其几何参数有关。当陷波模态处于共振频率时,平行声屏障内部声场的声能量达到峰值,同时声波垂直入射到声屏障的顶端,使声影区的衍射声能也达到峰值,最终导致插入损失显著下降。该文还对3种优化平行声屏障插入损失的方法进行了分析。结果表明,楔形和扩散型声屏障可降低声波的多次反射效应对插入损失的影响,但是对陷波模态的改善较小;而吸声型声屏障有效地抑制了陷波模态对插入损失的不利影响,从而改善了平行声屏障的性能。     

任意边界板结构的声辐射模态误差传感器的设计

获取声辐射模态伴随系数是基于声辐射模态理论进行主动结构声控制(ASAC)的重要环节。以往PVDF分布式传感器的设计难点是振速展开受边界条件的限制,其设计过程往往是针对特定边界条件展开的。本文在声辐射模态理论和两维分布式传感器的压电方程的基础上,将板表面振速分布用Legendre多项式展开,给出了两维板结构的PVDF传感器形状与边界条件无关的设计方法。这样设计得到的传感器能应用于任意边界条件和任意振速分布的两维板结构,且实时性好,拓宽了其应用范围。本文还分别以固定边界条件板及在该板中任取一小区域两种情况为例,证明了该设计方法的可行性。     

机翼颤振的有源声控制

借助于己推导出的声激励下绕三维薄翼的非定常位势流的精确解，本文进一步分析了限于弱扰动的声激励消除颤振的机理，讨论了声源参数对颤振边界的影响，并通过声一涡耦合的理论计算，解释了原有的风洞实验。结果表明，对于不同位置的声源，声致气动载荷的无环量和有环量部分起着不同的作用，而且，在声控制颤振的过程中，系统的各种参数存在一定的关系，必须合理地选取最佳参数。本文的研究为声控制技术在气动领域中的实际应用提供了理论基础。     

光电位置传感器

介绍用摸拟电路与数字电路两种方法来消除输出信号变化对位置精变的影响。     

次级源和误差传感器布放对带弹性障板的充液直管声振复合有源控制的影响*

针对充液管路系统噪声有源控制问题,研究了次级源和误差传感器布放对带弹性障板的充液直管管路系统有源消声与有源消振复合控制效果的影响。基于声固耦合方法建立了带弹性障板的充液直管管路系统的有限元模型,在声激励下对比了次级声源布放对系统有源消声性能的影响,并在组合激励下分析了次级力源、次级声源和误差传感器布放对系统复合有源控制的影响。结果表明,非对称分布的次级声源容易激起管壁振动,进而带动障板振动,导致有源消声效果不佳;采用对称分布的次级声源可使低频段的降噪量提高10 dB以上。复合有源控制可进一步提升全频段的控制效果。通过增加振动误差传感器数量,可使绝大多数频点的降噪量提高1~20 dB不等。此外,在管壁上布放的两圈次级力源的间距小于管壁振动波长的1/4,且都不位于管壁振动节点附近时控制效果更好。     

光纤声传感器

光纤传感器作为一种新兴的传感技术,在许多领域中都已显示出强大的生命力.近些年来,国外许多公司、军事部门和大学都积极投身于这方面的研究,使这种新型的传感器得到了迅速发展。     

Error sensor location optimization for active soft edge noise barrier

Active control is used to improve the performance of noise barrier at low-frequency range and the excess insertion loss due to the active control system is influenced by the positions of the error sensors. The positional optimization for the error sensors in an active soft edge noise barrier was investigated. Both numerical simulations and experiments show that there is an optimum in the distance between the secondary sources and the error sensors, and that the error sensors should be placed above the secondary sources.     

An active noise barrier with unidirectional secondary sources

An active noise barrier with unidirectional secondary sources is investigated in this paper, where the unidirectional secondary source consists of two closely located loudspeakers with pre-adjusted phase difference. The secondary sound field of the unidirectional sources is adjusted to maximally match the primary sound field in the shadow zone behind the barrier. It is shown both numerically and experimentally that the noise reduction performance of the active noise barrier can be improved remarkably by replacing monopoles with the unidirectional sources. The mechanism for the improvement is also investigated.     

Study on the analogy feedback active soft edge noise barrier

It is feasible to enhance the effect of reduction of the noise barrier on low frequency noise using the active control system. On the basis of the forerunners’ research, an analogy feedback active control system that is easy to be carried out was arranged on the top of a noise barrier to form an analogy feedback active soft edge noise barrier in order to enhance the effect of reduction of the noise barrier on low frequency noise. Through a preliminary experimental study, this method was proved to be feasible and the following preliminary conclusions on the arrangement of active control systems were made: (1) when control sources were arranged in a single row, the control effect was determined by the density of arrangement: the higher the density, the better the control effect; (2) with the same density of arrangement, the control effect of the double row arrangement was better than that of the single row arrangement; (3) with the same number of control sources, the single row arrangement had better control effect than the double row arrangement.     

Interior noise control with an active window system

An active window system to reduce the exterior noise sources, such as traffic noise and construction noise which enter rooms through open windows used for natural ventilation is proposed. The proposed system uses a feedforward control method for active noise control so as not to place the sensors and control sources inside the interior space of the building. For global noise reduction throughout the interior room, the control gains for feedforward control are calculated to minimize the total acoustic power of the new source, which is combined with the noise source corresponding to the open window and control sources on the window frame. The performance of the proposed system for directional exterior noise is confirmed with a scale-model experiment. The experimental results show that the proposed system can achieve a noise reduction of up to 10 dB for the entire room of the scale model regardless of the direction of the incident wave.     

A simplified adaptive feedback active noise control system

In the adaptive feedback active noise control system based on the internal model control (IMC) structure, the reference signal is regenerated by synthesizing the error signal and the secondary signal filtered with the estimation of the secondary path, hence more computation load and extra programming are required. Motivated by the engineering truth that the primary noise cannot be completely cancelled in most practical active noise control applications and the error signal still contains some portions of the primary noise, a simplified adaptive feedback active noise control system is proposed in this paper, which adopts the error signal directly as the reference signal in an adaptive feedforward control system and utilizes the leaky filtered-x LMS algorithm to update the controller. The convergence properties of the proposed system are investigated and its advantages are discussed by comparing with other feedback control systems as well as the weakness. Finally, simulations and experiments are carried out to demonstrate the effectiveness of the proposed system.     

管道有源噪声控制中壁面分布次级声源的空间分布优化

为了改进管道中高阶模式声波的有源控制效果,研究了壁面分布次级声源的空间分布优化问题。首先提出管道中次级声源独立控制高阶模式声波的理论模型。然后推导次级声源在管道中各方向上空间分布对控制高阶模式声波的贡献,得到了次级声源空间分布的优化准则。通过将空间分布离散化,采用最小化管道中声能流的控制策略得到次级声源的最优驱动强度。最后通过数值仿真对比最优驱动强度时各种次级声源空间分布对控制性能的影响,验证了通过优化次级声源空间分布能显著提高控制效果。仿真结果表明,当次级声源分布于管道所有壁面且沿管道轴向分布范围较大时,高阶模式的控制效率最高。     

Noninvasive system identification for multichannel broadband active noise control

Many real-world applications of active noise control are characterized by transfer functions that vary significantly and unpredictably. The controller's transfer-function models must adapt to these variations. Presented here is a class of adaptive filters that accomplish quasiperiodic system identification updates for feedforward control by using blocks of input-output histories. The algorithms form a one-dimensional family linking normalized least-mean squares (LMS) adaptive filters and block recursive least-squares, termed "block projection" algorithms, and generalize the noninvasive system identification studied by Sommerfeldt and Tichy. The system identification proceeds noninvasively, producing nonparametric impulse responses. Simulations show that the algorithm's convergence is faster than that of normalized LMS, even after the additional overhead of computing the update is taken into account. Both the multichannel generalization and application of these algorithms to system identification are novel. Simulations of the algorithms' performance using measured data are presented here, while experimental results of an implemented algorithm are contained in the companion paper.     

Highway noise barrier perceived benefit

A laboratory experiment was performed in which 82 subjects judged the benefit of a noise barrier by listening to tape recordings of before-barrier and after-barrier traffic noise. These perceived benefit judgments were related by regression analysis to the barrier attenuation, the before-barrier traffic sound level, and a music background level, all of which were varied over the course of the experiment. Prediction equations were developed for barrier benefit in terms of these sound levels, their purpose being to provide a model for barrier benefit that can be used in barrier site selection and design. An unexpected finding was that barrier benefit was highest when before-barrier sound levels were lowest: i.e., subjects preferred a noise barrier that solved a moderate noise problem over an equally-attenuating barrier that only partially solved a more severe noise problem.