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Application of a flight test and data analysis technique to flutter of a drone aircraft

机译:飞行测试和数据分析技术在无人机飞行器颤振中的应用

摘要

Modal identification results presented were obtained from recent flight flutter tests of a drone vehicle with a research wing (DAST ARW-1 for Drones for Aerodynamic and Structural Testing, Aeroelastic Research Wing-1). This vehicle is equipped with an active flutter suppression system (FSS). Frequency and damping of several modes are determined by a time domain modal analysis of the impulse response function obtained by Fourier transformations of data from fast swept sine wave excitation by the FSS control surface on the wing. Flutter points are determined for two different altitudes with the FSS off. Data are given for near the flutter boundary with the FSS on.
机译:提出的模态识别结果是从最近带有研究机翼的无人机飞行振颤试验(用于空气动力学和结构试验的无人机的DAST ARW-1,空气弹性研究机翼1)获得的。该车辆配备了主动颤振抑制系统(FSS)。通过对脉冲响应函数进行时域模态分析来确定几种模式的频率和阻尼,该脉冲响应函数是通过机翼FSS控制面从快速扫掠正弦波激发数据的傅里叶变换获得的。在FSS关闭的情况下,确定两个不同高度的颤振点。在FSS开启的情况下,在颤振边界附近给出了数据。

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  • 作者

    Bennett R. M.;

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  • 年度 1981
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