摘要
针对道路噪声主动控制系统中,冲击噪声引起的鲁棒性问题,提出了一种对冲击噪声的主动控制方法。首先,进行了道路噪声采集试验,选取了4个最佳参考信号位置,并采集了道路冲击噪声的数据。然后,基于多通道自适应滤波算法,提出了归一化多通道自适应滤波算法和符号算法相结合的冲击噪声主动控制算法。其次,基于提出的冲击噪声主动控制算法,搭建了道路噪声主动控制系统仿真模型,使用采集到的冲击噪声信号和加速度信号进行了仿真分析。最后,使用选取的4个加速度信号和1个扬声器,控制驾驶员处的道路噪声,进行了道路冲击噪声主动控制试验,验证了方法的有效性。与原有算法相比,该算法的稳定性和降噪效果得到了较大的提升。
Aimed at the robustness problem caused by the impulsive noise in the road noise active control system,an active control method for the impulsive noise was proposed.First,the road noise acquisition test was conducted,4 optimal reference signal positions were selected,and the data of road impulsive noise were collected.Then,based on the multi-channel adaptive filtering algorithm,an impulse noise active control algorithm combining the normalized multi-channel adaptive filtering algorithm and the symbolic algorithm was proposed.After that,based on the proposed impact noise active control algorithm,a simulation model of the road noise active control system was built,and the collected impact noise signal and acceleration signal were used for simulation analysis.Finally,using four selected acceleration signals and one loudspeaker to control the road noise at the driver’s place,an active control test of road impact noise was performed to verify the effectiveness of the method proposed.Compared with the original algorithm,the stability and noise reduction effect of the algorithm have been greatly improved.
作者
张立军
皮雄飞
孟德建
ZHANG Lijun;PI Xiongfei;MENG Dejian(School of Automotive Studies,Tongji University,Shanghai 201804,China)
出处
《同济大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2023年第9期1460-1468,共9页
Journal of Tongji University:Natural Science
基金
国家自然科学基金(52072268)。
关键词
主动噪声控制
冲击噪声
归一化算法
道路试验
active noise control
impulsive noise
normalization algorithm
road test