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Optimization in the Context of Active Control of Sound

机译:声音主动控制中的优化

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摘要

A problem of eliminating the unwanted time-harmonic noise on a predetermined region of interest is solved by active means, i.e., by introducing the additional sources of sound, called controls, that generate the appropriate annihilating signal (anti-sound). The general solution for controls has been obtained previously for both the continuous and discrete formulation of the problem. Next, the control sources are optimized using different criteria. Minimization of the overall absolute acoustic source strength is equivalent to minimization of multi-variable complex functions in the sense of L_1 with conical constraints. The global L_1 optimum appears to be a special layer of monopoles on the perimeter of the protected region. The use of quadratic cost functions, e.g., the L_2 norm of the controls, leads to a versatile numerical procedure. It allows one to analyze sophisticated geometries in the case of a constrained minimization. Finally, minimization of power consumed by an active control system always involves interaction between the sources of sound and the surrounding acoustic field, which was not the case for either L_1 or L_2. One can, in fact, build a control system that would require no power input for operation and may even produce a net power gain while providing the exact noise cancellation. This, of course, comes at the expense of having the original sources of noise produce even more energy.
机译:通过主动装置,即通过引入产生适当ni灭信号(反声音)的附加声源(称为控制)来解决消除在预定的感兴趣区域上的不希望的时间谐波噪声的问题。先前已针对问题的连续形式和离散形式获得了控制的一般解决方案。接下来,使用不同的标准优化控制源。在具有圆锥约束的L_1的意义上,总的绝对声源强度的最小化等效于对多变量复函数的最小化。全局L_1最佳值似乎是受保护区域周围的特殊单极层。使用二次成本函数,例如控件的L_2范数,导致了通用的数值过程。在受限最小化的情况下,它可以分析复杂的几何形状。最后,主动控制系统所消耗的功率最小化总是涉及声源与周围声场之间的相互作用,而L_1或L_2都不是这种情况。实际上,人们可以构建一种控制系统,该系统无需输入任何功率即可运行,甚至可以在提供准确的噪声消除的同时产生净功率增益。当然,这是以使原始噪声源产生更多能量为代价的。

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