多频线谱激励下的混合自适应微振动主动控制
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TB535;TH113

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国家自然科学基金资助项目(51575328)


Hybrid Adaptive Algorithm for Active Micro⁃vibration Control Under Multiple Narrowband Disturbances
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    摘要:

    针对多频线谱激励下的结构振动主动控制中的频率失配问题,以并联结构滤波?x最小均方(filtered?x least mean square,简称FxLMS)算法为基础,提出一种混合自适应振动主动控制方法。前馈通道通过多个带通滤波器将多频线谱激励振动的参考信号解耦成为多个单频线谱信号,多个独立自适应滤波器调节权值抑制单一频带上的振动,提升收敛速度;反馈通道提升了算法对于扰动信号频谱发生时变及宽频噪声扰动的鲁棒性。给出该混合自适应振动主动控制算法的稳定性及收敛性分析过程,得到算法稳定与收敛的正实条件。基于Adams与Simulink联合仿真,以及搭建结构微振动主动控制实验系统,验证了混合自适应振动主动控制算法的有效性。实验结果表明,混合自适应振动主动控制算法能够有效抑制多个目标频谱的结构微振动,并在扰动频率失配以及宽频噪声中表现出较好的鲁棒性。

    Abstract:

    In light of the frequency mismatch in active structural vibration control under multi-frequency narrowband excitation, a hybrid adaptive active vibration control method is proposed based on the parallel-form filtered-x least mean square (FxLMS) algorithm. In the proposed algorithm, multiple bandpass filters in feedforward paths decouple reference signal into multiple narrowband signals. Thus, the multi-frequency narrowband active vibration control is transformed into multiple narrowband active vibration control to speed up the convergence. Besides, the feedback path improves the robustness against time-varying and broadband noise disturbance. Then, the analysis of the proposed algorithm uncovers the conditions demanded for its stability and convergence. Finally, the effectiveness of the proposed algorithm is verified by a Adams-Simulink simulation system and active micro-vibration control experiments. The results show that the proposed algorithm can suppress micro-vibration of multi-frequency narrowband disturbances and exhibit better robustness in the condition of disturbance frequencies mismatch and broadband noise.

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  • 在线发布日期: 2021-03-03
  • 出版日期: 2021-02-28
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