修正自适应滤波算法的道路噪声主动控制系统

Active Road Noise Control System with Modified Adaptive Filtering Algorithm

针对车内道路噪声主动控制系统中传感器直流偏量引起的系统失稳问题,建立了一种新的修正多通道自适应滤波的道路噪声主动控制算法。首先,以多重相干为综合评价指标,以实车道路试验下测得的24个加速度信号为基础,选取了4个加速度信号作为参考信号;其次,以2个车载扬声器为次级声源,驾驶员头枕位置为控制目标,在Simulink环境下搭建4个参考信号、2个扬声器和1个麦克风的多通道车内道路噪声主动控制系统,并用不同路面(比利时路面、粗沥青路面)不同车速下采得的数据进行了仿真验证;最后,搭建了基于dSPACE的主动控制系统硬件在环试验平台,以验证不同工况下系统的有效性。结果表明:仿真结果与试验结果相一致,在不同工况下都可以取得稳定有效的降噪效果,验证了修正算法的有效性。

Aiming at the system instability caused by the DC offset of the sensors in the road noise active con⁃trol system,a new modified multichannel adaptive filtering road noise active control algorithm is established.Using multi-coherence as the evaluation function,a comprehensive evaluation index is constructed,and 4 ac⁃celeration signals are selected as reference signals using a multi-island genetic algorithm from 24 acceleration signals measured under real vehicle road tests.With two car speakers as secondary sound sources and one head⁃rest position in the front row as control targets,a multi-channel in-car road noise active control system with eight reference signals,two speakers,and two microphones are built in the Simulink environment.Simulations are performed using data collected at different vehicle speeds and different pavement(Belgian pavement,Rough asphalt pavement).On the basis of simulation model,a corresponding hardware-in-the-loop test plat⁃form for the active noise control system is built based on dSPACE.The experimental results are consistent with the simulation results under various operating conditions,both of which can achieve stable and effective noise reduction.