文章摘要
卢炽华,王子嘉,刘志恩,陈弯,周曾志,孙孟雷.低计算量的窄带ANC算法优化及实车DSP系统试验分析[J].声学技术,2024,43(4):575~584
低计算量的窄带ANC算法优化及实车DSP系统试验分析
Optimization of narrowband ANC algorithm with low computing load and experimental analysis of real vehicle DSP system
投稿时间:2023-10-23  修订日期:2023-12-18
DOI:10.16300/j.cnki.1000-3630.2024.04.017
中文关键词: 主动噪声控制  自适应陷波算法  局部次级通路  计算复杂度  ADSP-21489控制器
英文关键词: active noise control  adaptive notch filter  local secondary path  computational complexity  ADSP-21489 controller
基金项目:国家自然科学基金资助项目(52175111)。
作者单位E-mail
卢炽华 武汉理工大学现代汽车零部件技术湖北省重点实验室, 湖北武汉 430070
汽车零部件技术湖北省协同创新中心, 湖北武汉 430070 
 
王子嘉 武汉理工大学现代汽车零部件技术湖北省重点实验室, 湖北武汉 430070
汽车零部件技术湖北省协同创新中心, 湖北武汉 430070 
 
刘志恩 武汉理工大学现代汽车零部件技术湖北省重点实验室, 湖北武汉 430070
汽车零部件技术湖北省协同创新中心, 湖北武汉 430070 
Lzen@Whut.edu.cn 
陈弯 武汉理工大学现代汽车零部件技术湖北省重点实验室, 湖北武汉 430070
汽车零部件技术湖北省协同创新中心, 湖北武汉 430070 
 
周曾志 武汉理工大学现代汽车零部件技术湖北省重点实验室, 湖北武汉 430070
汽车零部件技术湖北省协同创新中心, 湖北武汉 430070 
 
孙孟雷 东风汽车集团有限公司技术中心, 湖北武汉 430058  
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中文摘要:
      车内主动噪声控制中常使用的传统滤波-x最小均方(Filtered-x Least Mean Square, FxLMS)算法由于计算复杂度高,往往导致系统硬件算力不足,降噪效果不理想。文章提出一种基于改进局部次级通路建模方法的自适应陷波(Local-secondary-path Filtered-x Least Mean Square, LFxLMS)算法及其相应的窄带主动噪声控制(LFxLMS-based Narrowband Active Noise Control, LFx-NANC)系统。所提出的改进局部次级通路建模方法具有更高的建模精度,且该系统相较于传统系统大大降低了计算复杂度。通过基于Matlab软件的仿真分析,验证了该系统对稳态及非稳态多谐波噪声的降噪性能。基于ADSP-21489控制器搭建车内双通道LFx-NANC系统,实现了在稳态工况下主驾位置处二、四、六阶降噪量分别达到34.67、21.41、10.29 dB (A);在加速工况下主驾位置处总声压级和二阶降噪量分别达到6.01 dB (A)和20.40 dB (A),同时在其他位置均有较好的降噪效果。文中提出的方法为主动噪声控制的工程应用提供了参考。
英文摘要:
      The traditional filtered-x least mean square (FxLMS) algorithm commonly used in active noise control in vehicles often results in insufficient hardware computing power and unsatisfactory noise reduction effects due to its high computational complexity. An adaptive notch local-secondary-path filtered-x least mean square (LFxLMS) algorithm based on an improved local secondary path modeling method and the corresponding narrowband active noise control (LFx-NANC) system are proposed in this paper. The improved local secondary path modeling method has a higher modeling accuracy, and the LFx-NANC system can greatly reduce the computational complexity compared to traditional systems. The noise reduction effects of the system on the steady-state and unsteady-state multi-harmonic noises are verified through the simulation analysis of Matlab. Based on the ADSP-21489 controller, a dual channel LFx-NANC system is built in the vehicle, and the second, fourth, and sixth order noise reductions of 34.67 dB(A), 21.41 dB(A), and 10.29 dB(A) at the driver's position are achieved respectively under the steady-state condition. Under the acceleration condition, the total sound pressure level and second-order noise reductions at the driver's position reach 6.01 dB(A) and 20.40 dB(A) respectively, while having good noise reduction effects at other positions. The proposed method provides a reference for the application of active noise control engineering.
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