To establish flutter onset boundaries on the flight envelope, it is required to determine the flutter onset dynamic pressure. Proper selection of a flight flutter prediction technique is vital to flutter onset speed prediction. Several methods are available in literature, starting with those based on velocity damping, envelope functions, flutter margin, discrete-time Autoregressive Moving Average (ARMA) modelling, flutterometer and the Houbolt–Rainey algorithm. Each approach has its capabilities and limitations. To choose a robust and efficient flutter prediction technique from among the velocity damping, envelope function, Houbolt–Rainey, flutter margin and auto-regressive techniques, an example problem is chosen for their evaluation. Hence, in this paper, a three-degree-of-freedom model representing the aerodynamics, stiffness and inertia of a typical wing section is used(1). The aerodynamic, stiffness and inertia properties in the example problem are kept the same when each of the above techniques is used to predict the flutter speed of this aeroelastic system. This three-degree-of-freedom model is used to generate data at speeds before initiation of flutter, during flutter and after occurrence of flutter. Using these data, the above-mentioned flutter prediction methods are evaluated and the results are presented.

中文翻译：

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颤振预测技术的比较评估

为了在飞行包线上建立颤振起始边界，需要确定颤振起始动态压力。正确选择飞行颤振预测技术对于颤振起始速度预测至关重要。文献中提供了几种方法，从基于速度阻尼、包络函数、颤振裕度、离散时间自回归移动平均 (ARMA) 建模、颤振计和 Houbolt-Rainey 算法的方法开始。每种方法都有其功能和局限性。为了从速度阻尼、包络函数、Houbolt-Rainey、颤振余量和自回归技术中选择一种稳健且有效的颤振预测技术，选择了一个示例问题进行评估。因此，在本文中，一个代表空气动力学的三自由度模型，(1). 当使用上述每种技术来预测该气动弹性系统的颤振速度时，示例问题中的气动、刚度和惯性特性保持不变。这个三自由度模型用于生成颤振开始前、颤振期间和颤振发生后的速度数据。利用这些数据，对上述颤振预测方法进行了评估并给出了结果。