Zexi Tang , Fusheng Bai , Xiangning Liao , Hao Luo , Quanyu Bai
{"title":"带均匀性约束的声场多区控制多目标优化方法","authors":"Zexi Tang , Fusheng Bai , Xiangning Liao , Hao Luo , Quanyu Bai","doi":"10.1016/j.cnsns.2024.108443","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"141 ","pages":"Article 108443"},"PeriodicalIF":3.4000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-objective optimization approach for multi-zone control of sound fields with uniformity constraint\",\"authors\":\"Zexi Tang , Fusheng Bai , Xiangning Liao , Hao Luo , Quanyu Bai\",\"doi\":\"10.1016/j.cnsns.2024.108443\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"141 \",\"pages\":\"Article 108443\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Nonlinear Science and Numerical Simulation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1007570424006282\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570424006282","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
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.
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.