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管道自适应有源噪声控制算法
引用本文:韩秀苓,程凡,高建林,李传光.管道自适应有源噪声控制算法[J].北京理工大学学报(英文版),1995,4(1):80-85.
作者姓名:韩秀苓  程凡  高建林  李传光
作者单位:北京理工大学自动控制系
摘    要: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:自适应控制系统  自适应滤波器  噪声控制/自适应算法  LMS算法

The Algorithms of Adaptive Active Noise Control Systems in a Duct
Han Xiuling,Cheng Fan,Gao Jianlin and Li Chuanguang.The Algorithms of Adaptive Active Noise Control Systems in a Duct[J].Journal of Beijing Institute of Technology,1995,4(1):80-85.
Authors:Han Xiuling  Cheng Fan  Gao Jianlin and Li Chuanguang
Affiliation:Department of Automatic Control, Beijing institute of Technology, Beijing 100081;Department of Automatic Control, Beijing institute of Technology, Beijing 100081;Department of Automatic Control, Beijing institute of Technology, Beijing 100081;Department of Automatic Control, Beijing institute of Technology, Beijing 100081
Abstract: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.
Keywords:adaptive control system  adaptive filters  noise control /adaptive algorithm  LMS algorithm
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