车内噪声主动控制系统鲁棒性分析与优化
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中图分类号:

TB535; TH113.1

基金项目:

国家自然科学基金资助项目(52072268)


Analysis and Optimization of Robustness of Noise Control in Vehicle
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    摘要:

    针对多通道自适应陷波车内噪声主动控制系统存在的次级通路鲁棒性问题,首先,建立了系统的数学模型,定义评价系统降噪性能的收敛率和稳态误差增益;其次,结合理论推导、数值仿真和试验验证方法对系统次级通路鲁棒性问题进行深入分析,并推导了系统次级通路完全失配的边界条件,发现次级通路改变对系统稳态误差无影响,对系统收敛性的影响有正效应也有负效应;最后,对系统次级通路鲁棒性进行优化,通过次级通路优化大幅提升系统收敛速度,提出并分析了次级通路反馈和泄露算法对多通道自适应陷波车内噪声主动控制系统次级通路鲁棒性的抑制效果。该文研究在实际应用中具有较好的指导意义。

    Abstract:

    The robustness of the secondary path of the noise from the adaptive notch filters for the multi-channel vehicle is investigated. First, the mathematical model of the system is established, and the convergence rate and the error gained at the steady state are defined to evaluate the system’s ability in reducing noise. Then, the secondary path robustness of the system, including the boundary conditions of mismatching, are derived, simulated, and verified by experiments. The results show that the change of secondary path doesn’t work for the steady-state error, but influences the convergence either positively or negatively. Based on these rules, the robustness is improved by increasing the convergence rate of the system through the optimization of the secondary path. Furthermore, the suppression of the feedback and leakage algorithm on the secondary path robustness of the system is proposed and analyzed.

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  • 在线发布日期: 2021-07-05
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