Modeling of Nonlinear Flexible Aircraft Dynamics Including Free-Wake Effects

Modeling of Nonlinear Flexible Aircraft Dynamics Including Free-Wake Effects
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包括自由尾流效应的非线性柔性飞机动力学建模

DOI:
10.2514/6.2010-8226
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发表时间:
2010
期刊:
--
影响因子:
--
通讯作者:
J. Graham
J. Graham
中科院分区:
--
文献类型:
--
作者:
J. Murua;R. Palacios;J. Graham

文献摘要

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本文研究了低速细长翼飞机的气动弹性和飞行动力学特性,包括自由尾迹效应和气动干扰。针对高空长航时飞行器的稳定性和操纵品质预测问题,提出了一个分析框架,该框架容易出现机翼大幅度偏移,导致空气动力学、弹性和飞行动力学之间存在固有的非线性和耦合问题。在这项工作中,结构动力学是基于几何精确的复合材料梁模型,离散使用基于位移的有限元,并铸造成一个扩展的柔性体动力学模型。气动力模型采用一般的非定常涡格法。在紧耦合状态空间形式,这使得方程可以同时求解的综合系统的运动方程制定。模型的验证已经进行了静态和动态问题,包括刚性和柔性机翼。数值研究的特定情况下,规定的刚体运动,特别注意尾流和尾部之间可能的干扰。结果表明,目前的方法是一个合适的替代方案,灵活的大气层飞行器的配置分析,提供了一个很好的平衡之间的保真度和计算成本。
This paper addresses the unified aeroelastic and flight dynamics characterization of low-speed slender-wing aircraft, including free-wake effects and aerodynamic interference. An analysis framework is presented that targets the prediction of stability and handling qualities of high-altitude long-endurance vehicles, which are prone to experience large wing excursions, leading to an inherently nonlinear and coupled problem between aerodynamics, elasticity and flight dynamics. In this work, the structural dynamics are based on a geometrically-exact composite beam model, discretized using displacement-based finite elements, and cast into an extended flexible-body dynamics model. The aerodynamic model is defined by a general unsteady vortex lattice method. The governing equations of motion of the integrated system are formulated in a tightly-coupled state-space form, which allows for the equations to be solved simultaneously. Verification of the model has been carried out for static and dynamic problems, including both rigid and flexible wings. Numerical studies are presented for the particular case of prescribed rigid-body motions, paying special attention to the likely interference between wake and tail. Results show that the current approach represents a suitable alternative for configuration analysis of flexible atmospheric vehicles, offering a good balance between degree of fidelity and computational cost.