The engine compartment is the main source of automobile noise. In this paper, based on the study of the noise characteristics of the engine compartment, the relationship model is established between engine speed and noise frequency, and an active noise reduction method is proposed based on the adaptive least mean square (LMS) algorithm. Because the adaptive change of the convergence factor is controlled by noise error, the method can reduce the steady-state error of the algorithm and improve the convergence speed of the algorithm. Through the analysis of single-channel active noise reduction control method, we deduced that this method can also realize multi-channel and multi-frequency point active noise reduction. Simulation and experimental results show that the convergence rate and steady-state error of the adaptive LMS algorithm are both taken into account in our method; the two-channel noise reduction experiment also shows that the total sound pressure level of channel one and channel two is reduced by 4.6 and 9.6 dB, respectively, which fully shows the feasibility of the multi-channel active noise reduction method based on the adaptive LMS algorithm.

发动机舱是汽车噪音的主要来源。本文在研究发动机舱噪声特性的基础上，建立了发动机转速与噪声频率的关系模型，提出了一种基于自适应最小均方（LMS）算法的主动降噪方法。由于收敛因子的自适应变化受到噪声误差的控制，因此可以减少算法的稳态误差，提高算法的收敛速度。通过对单通道主动降噪控制方法的分析，得出该方法还可以实现多通道，多频点主动降噪。仿真和实验结果表明，该方法同时考虑了自适应LMS算法的收敛速度和稳态误差。两通道降噪实验还表明，通道一和通道二的总声压级分别降低了4.6和9.6 dB，这充分表明了基于自适应LMS的多通道主动降噪方法的可行性。算法。