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Flutter boundary prediction based on nonstationary data measurement

机译:基于非平稳数据测量的颤振边界预测

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摘要

The flutter boundary prediction of a wing based on the nonstationary data measurement is proposed. System dynamics is represented by an ARMA model, whose coefficients are estiamted in each sampling instance using the RPE method. The stability margin of the aeroelastic system is evaluated by the Jury's stability parameter that is calculated from the AR part of the estimated coefficients. To examine t he performance of the estimation, a numerical simulation using a simple bending-torsion wing is conducted, in which the flow speed is increased at a constant rate. The flutter boundary is predicted by extrapolating the quadratic curve fitted to the flight speed. The result shows that the present method can use the data observed in a wide range of velocities to predict the flutter boundary and give an accurate prediction, while the conventional damping method can be applied only to the data near flutter boundary.
机译:提出了基于非平稳数据测量的机翼扑动边界预测方法。系统动力学由ARMA模型表示,该模型的系数在每个采样实例中使用RPE方法估算。空气弹性系统的稳定性裕度由评审委员会的稳定性参数评估,该参数是从估算系数的AR部分计算得出的。为了检验估计的性能,进行了使用简单的弯扭机翼的数值模拟,其中流速以恒定速率增加。通过外推拟合飞行速度的二次曲线来预测颤振边界。结果表明,本方法可以利用在大范围速度下观测到的数据来预测颤动边界并给出准确的预测,而传统的阻尼方法只能应用于颤动边界附近的数据。

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