Development of a tuning algorithm for a dynamic vibration absorber with a variable stiffness property

Development of a tuning algorithm for a dynamic vibration absorber with a variable stiffness property
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DOI:
10.1299/transjsme.19-00231
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发表时间:
2019
期刊:
Transactions of the JSME (in Japanese)
影响因子:
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通讯作者:
Tappei Kawai;T. Komatsuzaki
Tappei Kawai;T. Komatsuzaki
中科院分区:
其他
文献类型:
--
作者:
Tappei Kawai;T. Komatsuzaki

文献摘要

相似文献

在本研究中,我们提出了一种基于自适应线增强(ALE)算法的频率估计方法,用于改变频率可调动态吸振器(DVA)的特性。与传统方法相比,该方法具有良好的噪声容忍特性,并且可以通过反复优化滤波器系数来高精度地估计信号频率。磁流变弹性体(MRE)是一种刚度可控的弹性体复合材料,其固有频率通过外加磁场的作用自适应地调整为扰动频率。首先,我们解释了变刚度DVA的结构和所提出的频率调谐算法的机理。其次,给出了DVA特性的测试结果,即固有频率和阻尼比。通过充分利用所提出的DVA的频率可调性,我们评估了具有多个谐振峰的声激励板的实时振动控制性能。扫描激励试验表明,将自适应调谐DVA与所提出的频率估计算法相结合,可以有效地降低结构的振动,提高结构的性能。
In this study, we propose a frequency estimation method based on an adaptive line enhancer (ALE) algorithm to be used for changing property of the frequency-tunable dynamic vibration absorber (DVA). The method is known to have an excellent noise tolerance feature compared to the conventional method, and is possible to estimate the signal frequency with high accuracy by repeatedly optimizing the filter coefficients. An elastomer composite with controllable stiffness, known as a magnetorheological elastomer (MRE), is used in a dynamic vibration absorber whose natural frequency is tuned adaptively to the disturbance frequency through the application of an external magnetic field. Firstly, we explain the structure of a variable stiffness DVA and the mechanism of the proposed frequency tuning algorithm. Secondly, the test result of the DVA properties, namely, the natural frequency and damping ratio is shown. By taking full advantage of the frequency adjustability of the proposed DVA, we then evaluated the real-time vibration control performance for an acoustically excited plate having multiple resonant peaks. The sweep excitation tests show that the vibration of the structure can be effectively reduced with an improved performance by using the adaptive-tuned DVA to be used with the proposed frequency estimation algorithm.