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Active control for vehicle interior noise based on DWT-FxLMS algorithm using a piezoelectric feedback system
Applied Acoustics ( IF 3.4 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.apacoust.2020.107409
Y.S. Wang , H. Guo , Y.R. Li , N.N. Liu , C. Yang

Abstract A piezoelectric feedback system for active noise control (ANC) of vehicle interior noise is built in this paper. Firstly, a mathematical vibration model of a typical vehicle-used plate with piezoelectric patch is derived for revealing piezoelectric mechanism. An improved filtered-x least mean square (FxLMS) algorithm based on the discrete wavelet transform (DWT), so-called DWT-FxLMS, is presented. Comparisons with the common-used algorithms suggest that, the DWT-FxLMS is superior to the time-domain FxLMS (TD-FxLMS) algorithm in terms of the computational complexity and the convergence speed. The DWT-FxLMS can cope with both the stationary and nonstationary noises, but the frequency-domain FxLMS (FD-FxLMS) algorithm is failed to eliminate the nonstationary noise. Secondly, based on a simplified vehicle cavity model, some numerical simulations are performed for its structural vibration and acoustic characteristics. The top plate with maximum acoustic contribution is selected as a target for active control. The arrangement of piezoelectric sensor and actuator on the top plate is determined following the D-optimization criterion. Finally, the experimental verifications are conducted by using the established piezoelectric feedback system. The results suggest that, after applying ANC, the vibration acceleration of the top plate and the sound pressure level (SPL) at the passenger’s ear sides are attenuated to a certain extent. The proposed method based on the piezoelectric feedback DWT-FxLMS algorithm is effective and feasible for active control of vehicle interior noise, and can be regarded as a promising technique for developing the active noise and/or vibration control systems of other products with enclosed spaces in engineering.

中文翻译:

基于DWT-FxLMS算法的压电反馈系统车内噪声主动控制

摘要 本文构建了一种用于车内噪声主动噪声控制(ANC)的压电反馈系统。首先,推导了一个典型的带有压电贴片的车载板的数学振动模型,以揭示压电机理。提出了一种基于离散小波变换 (DWT) 的改进的滤波 x 最小均方 (FxLMS) 算法,即所谓的 DWT-FxLMS。与常用算法的比较表明,DWT-FxLMS在计算复杂度和收敛速度方面优于时域FxLMS(TD-FxLMS)算法。DWT-FxLMS 可以同时处理平稳和非平稳噪声,但频域 FxLMS (FD-FxLMS) 算法无法消除非平稳噪声。其次,基于简化的车腔模型,对其结构振动和声学特性进行了一些数值模拟。选择具有最大声学贡献的顶板作为主动控制的目标。顶板上的压电传感器和执行器的布置是根据 D 优化准则确定的。最后,利用建立的压电反馈系统进行实验验证。结果表明,应用ANC后,顶板的振动加速度和乘客耳侧的声压级(SPL)都有一定程度的衰减。提出的基于压电反馈 DWT-FxLMS 算法的方法对于车辆内部噪声的主动控制是有效可行的,
更新日期:2020-10-01
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