车内噪声FXFU-LMS声振混合主动控制算法

A Noise-Vibration Hybrid FXFU-LMS Algorithm for Active Interior Noise Control of Vehicles

目前车内振动与噪声主动控制研究主要集中在以振消声或以声消声方面,为解决消声与消振无法同时兼顾的问题,提出一种基于滤波-X最小均方算法(FXLMS)和滤波-U最小均方算法(FULMS)的车内噪声FXFU-LMS声振混合主动控制算法。以在某轿车中采集的振声传递函数为基础,在每次迭代中,首先采用FULMS算法对振动信号进行主动振动控制;然后利用振声传递函数计算出控制前后振动辐射噪声的减少量,得到进行振动主动控制后的耳侧噪声;最后采用FXLMS算法进行主动噪声控制,依次循环直至稳定。结果表明,FXFU-LMS算法能有效抑制车内噪声,且与传统FXLMS、FULMS算法相比,该算法残余误差更小,收敛速度更快,可以兼顾振动与噪声控制,更适用于车内噪声主动控制(ANC)。

At present,the active control of vehicle interior noise and vibration is mainly concentrated on the single study of vibration cancellation or sound cancellation.In order to solve the problem that the active noise control(ANC)and the active vibration control(AVC)cannot be performed simultaneously,a novel active noise-vibration hybrid control FXFULMS algorithm based on filter-X least mean square(FXLMS)algorithm and filter-U least mean square(FULMS)algorithm for vehicle interior noise control is proposed.Based on the vibration and noise transfer function collected in a vehicle,the FULMS algorithm is used to control the vibration signal in each iteration.Then,the reduction of the vibration radiation noise is calculated by the vibration and noise transfer function,and the vibration radiation noise is then eliminated from the noise signal.Thus,the noise at diver’s ears is obtain after the AVC.Finally,the FXLMS algorithm is used to control the noise signal.The above process is sequentially cycled until the result is stable.The results show that the FXFU-LMS algorithm can effectively suppress the vehicle interior noise.Compared with the traditional FXLMS and FULMS algorithms,the residual error of the proposed algorithm is smaller and the convergence speed is faster.The FXFU-LMS algorithm can balance the ANC and AVC,and is more suitable for active control of vehicle interior noise.