The Algorithms of Adaptive Active Noise Control Systems in a Duct  

管道自适应有源噪声控制算法

作　　者：韩秀苓[1] 程凡[1] 高建林[1] 李传光[1] 

机构地区：[1]北京理工大学自动控制系

出　　处：《Journal of Beijing Institute of Technology》1995年第1期85+80-85,共7页北京理工大学学报（英文版）

基　　金：北京市自然科学基金

摘　　要：On the basis of the theory of adaptive active noise control(AANC) in a duct, this article discusses the algorithms of the adaptive control, compares the algorithm characteristics using LMS, RLS and LSL algorithms in the adaptive filter in the AANC system, derives the recursive formulas of LMS algorithm. and obtains the LMS algorithm in computer simulation using FIR and IIR filters in AANC system. By means of simulation, we compare the attenuation levels with various input signals in AANC system and discuss the effects of step factor, order of filters and sound delay on the algorithm's convergence rate and attenuation level.We also discuss the attenuation levels with sound feedback using are and IIR filters in AANC system.本文以管道自适应有源噪声控制（ＡＡＮＣ）理论为基础讨论了自适应控制算法，比较了ＡＡＮＣ系统中自适应滤波器的ＬＭＳ，ＲＬＳ和ＬＳＬ算法的特性，导出了ＬＭＳ算法的递推公式，得到了ＦＩＲ和ＩＩＲ滤波器的ＬＭＳ算法的计算机仿真．通过仿真，比较了不同信号的消声量，讨论了步长因子、滤波器阶数和声延迟对算法收敛速度和消声量的影响，还讨论了有声反馈的ＦＩＲ和ＩＩＲ滤波器的消声量的大小．

关 键 词：adaptive control system adaptive filters noise control /adaptive algorithm LMS algorithm 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]