基于NFXLMS算法的车内道路噪声主动控制系统

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振动与冲击 ›› 2020, Vol. 39 ›› Issue (21) : 173-178.

论文

张立军1,2,张希玉1,2,孟德建1,2

作者信息 +

Active control system of vehicle interior road noise based on NFXLMS algorithm

ZHANG Lijun1,2, ZHANG Xiyu1,2, MENG Dejian1,2

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文章历史 +

摘要

针对车内结构型道路噪声的时变、宽带、随机特性，建立基于归一化参考信号滤波最小均方误差（Normalized Filter-x Least Mean Square，NFXLMS）算法的道路噪声主动控制系统。首先通过理论推导，分别建立了多通道参考信号滤波最小化均方误差（Filter-x Least Mean Square, FXLMS）算法和NFXLMS算法，计算复杂度分析表明NFXLMS算法的计算量增量可以忽略。然后，在Simulink中搭建了两种算法的车内道路噪声主动控制系统离线仿真模型，以破损粗沥青路面采集的车内道路噪声数据进行离线仿真，结果表明基于NFXLMS算法的道路噪声主动控制系统具有更好的鲁棒性和工况适应性。最后，用MicroAutoBox作为实时控制器，搭建了基于NFXLMS算法的车内道路噪声主动控制系统硬件在环试验平台，通过实车道路试验验证了该系统的有效性。

Abstract

Here, aiming at time-varying, broadband and random characteristics of vehicle interior structure-borne road noise, the road noise active control system was established based on the normalized filter-x least mean square (NFXLMS) algorithm.Firstly, through theoretical deriving,the multi-channel filter-x least mean square (FXLMS) algorithm and the multi-channel NFXLMS algorithm were established, respectively.The computation complexity analysis showed that the computational increment of NFXLMS algorithm can be negligible.Then, off-line simulation models for the vehicle interior road noise active control system were built with the two algorithmsin Simulink.The off-line simulation using data collected from damaged rough asphalt pavement showed that the road noise activecontrol system based on NFXLMS algorithm has better robustness and working condition adaptability.Finally, a MicroAutoBox was taken as the real-time controller, the hardware-in-loop test platform for the vehicle interior road noise active control system based on NFXLMS algorithm was built, and actual road tests were conducted to verify the effectiveness of the system.

导出引用

张立军1,2,张希玉1,2,孟德建1,2. 基于NFXLMS算法的车内道路噪声主动控制系统[J]. 振动与冲击, 2020, 39(21): 173-178

ZHANG Lijun1,2, ZHANG Xiyu1,2, MENG Dejian1,2. Active control system of vehicle interior road noise based on NFXLMS algorithm[J]. Journal of Vibration and Shock, 2020, 39(21): 173-178

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