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Robust Design of Active Vehicle Interior Noise Control System Based on Adaptive Notch Filter

机译:基于自适应陷波滤波器的主动车辆内部噪声控制系统的鲁棒设计

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As an effective means of suppressing low-frequency noise from engine, the technology of active noise reduction has a wide application in the field of passenger cars with increasing command for comfort, while the variability of driving conditions and the complexity of acoustic environment in the passenger compartment raise a high requirement on the robustness of the ANC system. The results in this research could be summarized as follows: 1. The coefficient factor a established in this paper could indicate the convergence of the system, and the size of coefficient factor could describe the convergence speed. 2. The system diverged in several frequency ranges when there was modelling mismatch in secondary path, which means the system was not robust to the changes in the states of windows' opening and closing. 3. The convergence coefficient in the adaptive algorithm and characteristic of the secondary path could be considered at the same time in the robust design using a vector c. And the addition of penalty term allowed divergence to be taken into account when looking for the optimal design variables. And through simulation and experiment, the robust design in this research was proven to be effective.
机译:作为抑制发动机的低频噪声的有效手段,主动降噪技术在乘用车领域得到了广泛的应用,其舒适性要求越来越高,而驾驶条件的变化和乘客的声学环境的复杂性也越来越高。隔室对ANC系统的坚固性提出了很高的要求。研究结果概括如下:1.本文建立的系数因子a可以表明系统的收敛性,系数因子的大小可以描述收敛速度。 2.当次级路径中存在模型不匹配时,系统在几个频率范围内发散,这意味着系统对于窗户的打开和关闭状态的变化并不稳健。 3.在鲁棒设计中,可以使用向量c同时考虑自适应算法中的收敛系数和次级路径的特性。在寻找最佳设计变量时,惩罚项的增加允许考虑差异。并通过仿真和实验,证明了该研究的鲁棒设计是有效的。

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