基于频域前馈自适应算法的车内噪声主动控制仿真与试验分析

doi:10.3969/j.issn.1004-132X.2025.04.022

摘要/Abstract

摘要： 针对目前广泛应用于车内噪声主动控制领域的时域前馈自适应算法（TFxLMS）存在计算量大、收敛速度慢、稳定性差等问题，基于快速傅里叶变换与分块计算思想提出了一种频域前馈自适应算法（FFxLMS）。通过数值仿真比较了FFxLMS算法和TFxLMS算法在降噪效果及计算量、收敛速度、稳定性等方面的性能优劣，并通过实车路试验证了仿真结果。对比显示，FFxLMS算法降噪效果更明显、计算量更小、收敛速度更快且稳定性更好。

关键词: 车内噪声主动控制, 频域前馈自适应算法, 降噪, 计算量, 收敛速度, 稳定性

Abstract: In view of the problems such as huge computational counts, low convergence speed and poor stability of the widely-used time-domain feedforward adaptive algorithm(TFxLMS) for active vehicle interior noise control, a FFxLMS was proposed based on fast Fourier transform(FFT) and block computation. The strengths and weaknesses of the FFxLMS algorithm and the TFxLMS algorithm were compared in terms of the noise reduction, computational count, convergence speed, and stability. Furthermore, the numerical findings were experimentally validated. The results show that the FFxLMS algorithm has advantages in noise reduction, computational count, convergence speed and stability.

Key words: active vehicle interior noise control, frequency-domain feedforward adaptive algorithm（FFxLMS）, noise reduction, computational count, convergence speed, stability

中图分类号:

U467

王健1, 张明1, 刘松1, 权贺1, 冯超1, 张喆2. 基于频域前馈自适应算法的车内噪声主动控制仿真与试验分析[J]. 中国机械工程, 2025, 36(04): 850-856.

WANG Jian1, ZHANG Ming1, LIU Song1, QUAN He1, FENG Chao1, ZHANG Zhe2. Simulation and Experimental Analysis for Active Vehicle Interior Noise Control Based on FFxLMS[J]. China Mechanical Engineering, 2025, 36(04): 850-856.

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链接本文: https://www.cmemo.org.cn/CN/10.3969/j.issn.1004-132X.2025.04.022

https://www.cmemo.org.cn/CN/Y2025/V36/I04/850

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