基于次级通路离线重构的车内道路噪声主动控制

针对车内道路噪声主动控制(RNC)系统收敛速度慢、降噪量小的问题,在考虑噪声计权特性的基础上提出基于次级通路离线重构的归一化参考信号计权滤波最小均方误差(NFWXLMS)车内道路噪声主动控制算法。在不增加控制系统计算复杂度的前提下,可以有效提升车内道路噪声主动控制系统的收敛速度和降噪量。基于Simulink离线仿真,进行了NFWXLMS算法和归一化参考信号滤波最小均方误差(NFXLMS)算法的收敛性和降噪量对比,结果表明新算法可以有效改善道路噪声主动控制系统收敛性、提升系统降噪量。最后,开展基于2种算法的道路噪声主动控制实车道路试验,测试结果表明系统的降噪量得到明显提升。

Active Control of Vehicle Interior Road Noise Using Offline Reconstruction of Secondary Path

Aiming at the problems of slow convergence and small noise reduction of the active control system for vehicle interior road noise. Considering the noise-weighting characteristics, the Normalized Filter Weighted-x Least Mean Square (NFWXLMS) algorithm for vehicle interior road noise active control based on off-line reconstruction of secondary path is proposed. On the premise of not increasing the computational complexity of the control system, the convergence speed and noise reduction of the system can be effectively improved. Based on Simulink simulation, the convergence and noise reduction of the NFWXLMS algorithm and the Normalized Filter-x Least Mean Square (NFXLMS) algorithm are compared. The results show that the new algorithm can effectively improve the convergence and enhance the noise reduction of the system. Finally, the road test of the system based on the two algorithms is carried out, and the results show that the noise reduction of the system has been significantly improved.