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FLUTTER MARGIN PREDICTION BY COMBINATION OF RANDOM DECREMENT METHOD AND EIGEN-SYSTEM REALIZATION ALGORITHM

机译:随机减量法与特征系统实现算法相结合的颤振边缘预测

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In order to find the aeroelasticity instability in flutter tests, the research to predict flutter margin has been conducted in JAXA. As the way to predict the flutter margin, the Random Decrement (RD) method was applied. Although the RD is useful for calculating the system damping, it was used in this study as the tool to acquire the quasi-step response of the system. This response, therefore, expresses a good combination with the Eigen-system Realization Algorithm (ERA). After the system model was identified by the ERA, the Discrete Flutter Margin was calculated. This series of processes was applied to the result of wind tunnel flutter test, and the influences of processing parameters were inspected. As the results of this study, the threshold level of RD processing does not influence seriously the results. On the other hand, the column number of Hankel matrix processed in the ERA influences the accuracy of flutter prediction.
机译:为了在颤振测试中发现气动弹性不稳定性,在JAXA中进行了预测颤振裕度的研究。作为预测抖动余量的方法,应用了随机减量(RD)方法。尽管RD对于计算系统阻尼非常有用,但在本研究中将其用作获取系统准阶跃响应的工具。因此,此响应与特征系统实现算法(ERA)很好地结合在一起。在通过ERA确定了系统模型之后,便计算出了离散颤动裕量。将这一系列过程应用于风洞颤振试验的结果,并考察了工艺参数的影响。作为这项研究的结果,RD处理的阈值水平不会严重影响结果。另一方面,在ERA中处理的汉克矩阵的列数会影响抖动预测的准确性。

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