摘要
针对道路噪声主动控制系统中参考信号与期望信号相干性较低的问题,提出参考信号滤波重构的方法,并对混合前反馈主动控制算法模型进行归一化降延迟改进。首先,采集车内驾驶员耳侧噪声和底盘关键点振动信号,分析驾驶员耳侧噪声每个峰值频段对应的最佳振动信号,通过对分析后的振动信号进行滤波和重构得到新的参考信号。其次,通过归一化降延迟方法改进混合前反馈主动控制算法。最后,利用MATLAB软件搭建车内道路噪声主动控制仿真模型。结果表明使用滤波重构方法获得的参考信号能有效降低车内司乘人员耳侧的噪声,归一化降延迟前反馈算法的乘除和加减计算量相比归一化混合前反馈算法都有所减少,改进的混合前反馈主动控制算法的峰值降噪量相比混合前反馈算法提高2.16 dB(A),50~300 Hz频段范围内的总声压级降噪量提高0.5 dB(A)。
To address the issue of low coherence between the reference signal and the desired signal in road noise active control systems,a method for reference signal filtering and reconstruction was proposed.Additionally,the hybrid feedforward-feedback active control algorithm model was improved through normalization and delay reduction techniques.Initially,noise signals near the driver’s ear and vibration signals at key chassis points were collected.A new reference signal was generated by filtering and reconstructing the optimal vibration signal corresponding to each peak frequency band of the driver′s ear noise.Subsequently,the hybrid feedforward-feedback active control algorithm was optimized using the normalization and delay reduction method.Finally,a simulation model for in-vehicle road noise active control was developed using MATLAB software.The results demonstrate that the reference signal obtained via filtering and reconstruction can effectively reduce the noise at the driver′s ear.Compared to the normalized hybrid feedforward-feedback algorithm,the improved delay-reduction hybrid feedforward-feedback active control algorithm can reduce computational complexity for multiplication,division,and addition/subtraction.The peak noise reduction achieved by the improved algorithm is 2.16 dB(A)greater than that of the hybrid feedforward-feedback algorithm,and the total sound pressure level reduction in the 50-300 Hz frequency band is increased by 0.5 dB(A).
作者
邓家亮
刘宁宁
王岩松
郭辉
黄双
袁涛
DENG Jialiang;LIU Ningning;WANG Yansong;GUO Hui;HUANG Shuang;YUAN Tao(School of Machinery and Automobile Engineering,Shanghai University of Engineering Science,shanghai 201620,China)
出处
《噪声与振动控制》
北大核心
2025年第5期178-183,共6页
Noise and Vibration Control
基金
国家自然科学基金资助项目(52172371)
上海市优秀学术/技术带头人计划资助项目(21XD1401100)
上海市新能源汽车振动噪声测试与评价技术专业服务平台基金资助项目(18DZ2295900)。
关键词
声学
道路噪声
归一化降延迟算法
参考信号滤波重构
主动噪声控制
acoustics
road noise
normalized delay-reduction algorithm
reference signal filtering and reconstruction
active noise control
