Active Control of Vehicle Interior Noise Based on Variable Step-size Delayed Adaptive Notch Algorithm

With the rapid advancement of technology and the automotive industry's growth, NVH (Noise, Vibration, Harshness) has become a critical measure of vehicle comfort. Traditional passive noise reduction methods effectively suppress medium and high-frequency noise but fail against low-frequency noise. Active noise control (ANC) technology addresses this by generating sound waves that destructively interfere with primary noise, canceling it out. Low-frequency noise in vehicles, mainly from engine harmonics, necessitates a multichannel ANC system for effective suppression. Adaptive algorithms, like the Multichannel Filter Reference Least Mean Square (McFxLMS), enhance noise elimination in dynamic environments. This paper proposes a new variable step adaptive notch algorithm to improve the efficiency of ANC systems. Using LABVIEW for simulation, the algorithm combines single-channel adaptive delay notch and variable step technology, verified through experiments. The study highlights the need for further research to expand single-channel ANC to multichannel systems and to incorporate real-time engine speed data for robust algorithm performance. The proposed method offers a lower computational complexity, addressing hardware limitations while ensuring effective noise reduction.