带均匀性约束的声场多区控制多目标优化方法

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Zexi Tang , Fusheng Bai , Xiangning Liao , Hao Luo , Quanyu Bai
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引用次数: 0

摘要

自近三十年前个人音频系统诞生以来,人们对其进行了广泛的研究。声学对比控制 (ACC) 方法因其能够在亮区和暗区之间建立明显的声能对比而被广泛采用。但这种方法无法确保亮区内声场分布均匀,可能会影响用户的听觉舒适度。为了解决这个问题,一些方法建议在 ACC 模型中加入亮区一致性约束。然而,这些方法在所有频点上都采用了相同的参数,导致在许多频点上都无法找到最优解。本研究引入了一种多目标优化方法,以找到每个频点的最优解。多目标优化方法可在每个频点生成一组帕累托最优解。这组方案反映了两个目标之间的权衡,并允许决策者根据目标的重要性选择最适合实际应用的方案。采用目标编程法进行选择。汽车舱内的模拟结果表明,所提出的方法能有效地平衡声学对比度和均匀性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-objective optimization approach for multi-zone control of sound fields with uniformity constraint
Personal audio systems have been studied extensively since their inception nearly three decades ago. Acoustic Contrast Control (ACC) method is extensively employed due to its capability to establish a distinct contrast in acoustic energy between bright and dark zones. But it fails to ensure a uniform sound field distribution within the bright zone, potentially compromising the auditory comfort experienced by users. To address this issue, some methods have proposed to integrated a bright zone consistency constraint into the ACC model. However, the same parameter across all frequency points are employed in these methods, resulting in the failure to find the optimal solution at many frequency points. In this study, a multi-objective optimization approach is introduced to find the optimal solution at each frequency point. A set of Pareto optimal solutions at each frequency point can be generated by the multi-objective optimization method. This set reflects the trade-off between the two objectives, and allows the decision maker to select the most appropriate solution for real applications based on the importance of the objectives. The goal programming method is adopted to do the selection. Simulation results within a car cabin demonstrate that the proposed method can balance the acoustic contrast and uniformity effectively.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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