体自由度颤振飞行试验的边界预测方法研究
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V211.47

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Body freedom flutter boundary prediction method for flight flutter test
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    摘要:

    体自由度颤振频率低,参与颤振的模态频率在亚临界状态往往已经极为接近,加之基于大气紊流激励的颤振飞行试验数据信噪比通常较低,增加了体自由度颤振飞行试验模态辨识以及颤振预测的难度。对此提出了一种基于Matrix Pencil 模态辨识方法的体自由度颤振预测方法。通过随机减量技术对输出响应信号进行系集平均,得到随机衰减标记;运用Matrix Pencil 方法拟合随机衰减标记获取模态参数,并通过频率和阻尼稳定判据筛选真实模态,再通过阻尼比与颤振稳定性判据变量外插获取颤振点。通过对仿真数据与试验数据的应用,可得到以下结论:Matrix Pencil 模态辨识方法能有效辨识密集的颤振模态,并获得清晰的模态辨识稳态图。基于阻尼比及稳定性判据变量外插获得的颤振预测结果较为合理,其中DTFM(Discrete?Time Flutter Margin)判据变量的下降趋势更明显,外插结果与试验值更接近。该方法适用于体自由度颤振飞行试验的亚临界预测

    Abstract:

    The body freedom flutter frequency is low,and the modal frequency participating in flutter is very close in the subcritical state. In addition,the signal-to-noise ratio of the flutter flight test data based on the atmospheric turbulence excitation is usually low,increasing the difficulty of mode identification and flutter prediction. Therefore,a method of body freedom flutter prediction based on the Matrix Pencil modal identification method is proposed in this paper. The random decrement technique is used to average the output response signals to obtain the random attenuation marks. The Matrix Pencil method is applied to fit the random attenuation marks to attain the modal parameters,and the real modes are then filtered by the frequency and damping stability criteria. The flutter critical points are extrapolated by the damping ratio and flutter stability parameters. Through the application of simulation data and experimental data,the following conclusions could be drawn:the Matrix Pencil modal identification method could effectively identify dense flutter modes,and obtain clear mode identification steady-state diagram. The results of flutter prediction based on the extrapolation of damping ratio and stability parameters are reasonable. The decreasing trend of DTFM(Discrete-Time Flutter Margin)variable is more obvious,and the extrapolation result is closer to the test value. This method is suitable for the subcritical prediction of the body freedom flutter flight test.

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雷鹏轩,吕彬彬,郭洪涛,余立,陈德华.体自由度颤振飞行试验的边界预测方法研究[J].振动工程学报,2022,35(1):202~208.[LEI Peng-xuan, Lü Bin-bin, GUO Hong-tao, YU Li, CHEN De-hua. Body freedom flutter boundary prediction method for flight flutter test[J]. Journal of Vibration Engineering,2022,35(1):202~208.]

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  • 在线发布日期: 2022-06-17
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