基于微穿孔板的通风管道噪声自适应控制算法研究
Study on Adaptive Control Algorithm of Ventilation Duct Noise Based on Micro-Perforated Pane
DOI: 10.12677/OJAV.2018.63011, PDF,    国家自然科学基金支持
作者: 郑伟光*, 林泽宇, 唐荣江, 许 鹏:桂林电子科技大学,机电工程学院,广西 桂林
关键词: 微穿孔板吸声结构自适应滤波器FXLMS算法RLS算法Microperforated Plate Sound Absorption Structure Adaptive Filter FXLMS Algorithm RLS Algorithm
摘要: 管道噪声包括低、中、高各个频率噪声。为了实现宽频带管道噪声的主动控制,本文拟结合阻抗复合式消声结构与主动降噪的方法,提出共振吸声结构削弱噪声源的声辐射并结合微穿孔板阻抗特性吸声的多吸声模式优化匹配方法。本文结合两种自适应控制算法研究管道的吸声规律,提出不同的主动降噪方案,通过仿真不同算法的迭代波形,并总结其自适应控制算法的参数对吸声效果的影响。建立前馈控制系统的管道吸声平台,进一步验证实验提出的结论。
Abstract: Pipeline noise includes low, medium and high frequency noise. In order to realize the active control of broadband pipeline noise, this paper combined with impedance compound muffler structure and active noise reduction method, proposed resonance sound absorption structure weaken noise source of the sound radiation and combined with the impedance characteristics of microperforated panel acoustic absorption mode optimization matching method. This paper combines two adaptive control algorithms to study the sound absorption law of pipelines, proposes different active noise reduction schemes, simulates the iterative waveforms of different algorithms, and summarizes the influence of the parameters of its adaptive control algorithm on the sound absorption effect. The feed forward control system of the pipe sound absorption platform was established to further verify the conclusion of the experiment.
文章引用:郑伟光, 林泽宇, 唐荣江, 许鹏. 基于微穿孔板的通风管道噪声自适应控制算法研究[J]. 声学与振动, 2018, 6(3): 88-98. https://doi.org/10.12677/OJAV.2018.63011

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