基于主动噪声控制技术改善车内声品质

The optimization of sound quality inside vehicle based on active noise control technology

为达到改善某款SUV匀速工况下车内声品质的目的,以驾驶员右耳旁的稳态噪声为研究对象,建立GA-BP声品质预测模型,对声品质客观参量和主观烦恼度进行一元线性回归,选取与主观烦恼度显著相关的响度和粗糙度作为控制目标,利用Zwicker计算模型对响度进行分析,利用小波变换对粗糙度进行分析,根据分析结果确定最优控制频带,并设计基于FELMS算法的主动噪声控制系统对样本噪声进行主动控制。仿真结果表明,控制后噪声的响度、粗糙度分别降低了33.5%、23.1%,烦恼度等级下降了2.76个等级,车内声品质得到大幅改善。

In order to improve SUV sound quality under uniform speed condition,the steady-state noise next to the driver s right ear was studied and the GA-BP sound quality prediction model was established. The objective parameters of sound quality and subjective annoyance were analyzed by linear regression.In this paper,the loudness and roughness which are significantly related to subjective annoyance were selected as the control objectives and were analyzed respectively by using Zwicker calculation model and wavelet transform.According to the analysis results,the optimal control frequency band was determined,and an active noise control system based on FELMS algorithm was designed to actively control the sample noise.The simulation results show that loudness and roughness of the sample noise are reduced by 33.5 % and 23.1 %,respectively,and the annoyance level is reduced by 2.76 grades.The sound quality inside vehicle has been improved.