基于頻域前饋自適應(yīng)算法的車內(nèi)噪聲主動控制仿真與試驗分析

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關(guān)鍵詞：車內(nèi)噪聲主動控制;頻域前饋自適應(yīng)算法;降噪；計算量；收斂速度；穩(wěn)定性中圖分類號：U467DOI：10.3969/j.issn.1004-132X.2025.04.022 開放科學(xué)（資源服務(wù)）標(biāo)識碼（OSID）：

Simulation and Experimental Analysis for Active Vehicle Interior Noise Control Based on FFxLMS

WANG Jian1* ZHANG Ming1 LIU Song1 QUAN Hel FENG Chao1 ZHANG Zhe2 1.China National Heavy Duty Truck Group Co.，Ltd.，Jinan，250000 2.CATARC（Tianjin） Automotive Engineering Research Institute Co.，Ltd.，Tianjin，300300

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

0 引言

汽車車內(nèi)噪聲是評價車型性能的關(guān)鍵指標(biāo)之一。（剩余9447字）