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车内声品质主动控制算法研究综述

吴雪纯 王岩松 郭辉 郑立辉 黄双

吴雪纯, 王岩松, 郭辉, 郑立辉, 黄双. 车内声品质主动控制算法研究综述[J]. 上海工程技术大学学报, 2022, 36(3): 231-237. doi: 10.12299/jsues.21-0239
引用本文: 吴雪纯, 王岩松, 郭辉, 郑立辉, 黄双. 车内声品质主动控制算法研究综述[J]. 上海工程技术大学学报, 2022, 36(3): 231-237. doi: 10.12299/jsues.21-0239
WU Xuechun, WANG Yansong, GUO Hui, ZHENG Lihui, HUANG Shuang. A survey of research on active control algorithms for vehicle interior sound quality[J]. Journal of Shanghai University of Engineering Science, 2022, 36(3): 231-237. doi: 10.12299/jsues.21-0239
Citation: WU Xuechun, WANG Yansong, GUO Hui, ZHENG Lihui, HUANG Shuang. A survey of research on active control algorithms for vehicle interior sound quality[J]. Journal of Shanghai University of Engineering Science, 2022, 36(3): 231-237. doi: 10.12299/jsues.21-0239

车内声品质主动控制算法研究综述

doi: 10.12299/jsues.21-0239
基金项目: 国家自然科学基金项目资助(52172371);上海市优秀学术/技术带头人计划项目资助(21XD1401100);上海市专业技术服务平台资助(18DZ2295900)
详细信息
    作者简介:

    吴雪纯(1997−),女,在读硕士,研究方向为汽车NVH. E-mail:1208433376@qq.com

    通讯作者:

    王岩松(1971−),男,教授,博士,研究方向为汽车NVH. E-mail:jzwbt@163.com

  • 中图分类号: U647.4+93

A survey of research on active control algorithms for vehicle interior sound quality

  • 摘要:

    随着经济水平的提高和汽车技术的发展,车内噪声控制要求在降低声压级的基础上,通过调整声音特性改善声品质. 为满足此目标,对声品质控制目标、控制系统建模、算法改进、算法仿真分析以及试验验证等方面进行研究,其中声品质主动控制算法是控制系统的核心,也是研究重点之一. 为进一步提高控制算法有效性、实时性和自适应性,重点综述主动噪声均衡(ANE )、滤波误差最小均方(FELMS)、神经网络3类声品质主动控制算法,详细阐述各类算法的实现原理、发展情况以及优劣势对比分析,同时对声品质主动控制算法存在的问题以及未来发展前景进行展望,为研究者提供理论基础.

  • 图  1  ANE算法框图

    Figure  1.  Block diagram of ANE algorithm

    图  2  FELMS算法框图

    Figure  2.  Block diagram of FELMS algorithm

    图  3  ANN算法框图

    Figure  3.  Block diagram of ANN algorithm

    图  4  ANN算法训练过程

    Figure  4.  Training process of ANN algorithm

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  • 收稿日期:  2021-11-03
  • 刊出日期:  2022-06-30

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