管道噪声自适应控制算法研究  

Research on Adaptive Control Algorithm for Pipeline Noise

作　　者：李延 周静雷[1] LI Yan;ZHOU Jingei(College of Electronic Information Engineering,Xi'an Polytechnic University,Xi'an,Shaanxi 710600,China)

机构地区：[1]西安工程大学电子信息学院,陕西西安710600

出　　处：《自动化应用》2025年第2期65-68,共4页Automation Application

摘　　要：噪声污染已成为威胁公众健康的普遍问题。若人们长期暴露在噪声环境中,容易引发头痛、耳鸣等不良症状。针对实际管道降噪中传统算法无法同时兼顾收敛速度和稳态误差的问题,基于箕舌线函数,提出一种改进的前馈滤波FxLMS算法,通过引入误差信号的相关函数来更新步长。实验中采用高斯白噪声作为输入信号,结果表明,改进算法在20~2000Hz范围内平均降噪量比传统算法提升了4.1495dB,最大降噪量比传统算法提升7.495dB。Noise pollution has become a common problem threatening public health.If people are exposured to noisy environments for a long-time,it can easily cause adverse symptoms such as headaches and tinnitus.In order to solve the problem that the traditional algorithm cannot take into account the convergence speed and steady-state error at the same time in actual pipeline noise reduction,an improved feedforward filtering FxLMS algorithm is proposed based on Versiera function,and the step size is updated by introducing the correlation function of the error signal.The results show that the average noise reduction of the improved algorithm is 4.1495 dB higher than that of the traditional algorithm in the range of 20~2000 Hz,and the maximum noise reduction is 7.495 dB higher than that of the traditional algorithm.

关 键 词：噪声污染 管道降噪 箕舌线 FXLMS算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]