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首页> 外文期刊>Mechanical systems and signal processing >A framework for backbone experimental tracking: Piezoelectric actuators, stop-sine signal and Kalman filtering
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A framework for backbone experimental tracking: Piezoelectric actuators, stop-sine signal and Kalman filtering

机译：骨干实验跟踪的框架：压电执行器，正弦信号和卡尔曼滤波

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This paper deals with the use of piezoelectric patches for nonlinear dynamic identification. The patches are glued on the structure to identify amplitude-dependent damping and natural frequency; their positions are defined in order to perform the excitation concentrated on the first bending mode. Their locations on the structure allow to perform "stop sines" tests, as, unlike electrodynamic shakers, piezos are embedded on structures and do not modify the studied structure after the excitation signal is switched off. Although, despite the piezo and the stop-sine, the signal is still modulated by other frequency components or polluted by random signals, a post processing with the extended Kalman Filter allows a very good determination of the modal damping and the natural frequency, especially when they depends on the free vibration amplitude.
机译：本文涉及使用压电贴片进行非线性动态识别。贴片粘贴在结构上，以识别与振幅有关的阻尼和固有频率。定义它们的位置以便执行集中在第一弯曲模式下的激励。它们在结构上的位置允许执行“停止正弦”测试，因为与电动振动器不同，压电体嵌入在结构中，并且在关闭激励信号后不会修改研究的结构。尽管尽管有压电和正弦波，信号仍然受到其他频率分量的调制或受到随机信号的污染，但是使用扩展的卡尔曼滤波器进行后处理仍可以很好地确定模态阻尼和固有频率，尤其是当它们取决于自由振动幅度。

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