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Reduced-Order Modeling of Hypersonic Unsteady Aerodynamics Due to Multi-Modal Oscillations

机译:由于多模态振荡的高超声速非定常空气动力学降阶建模

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The development of hypersonic vehicle control algorithms requires the accurate prediction of vehicle aerodynamic loads. This paper focuses on finding time-accurate unsteady loads due to the oscillation of multiple vehicle elastic modes. The reduced-order modeling methodology consists of using convolution of modal step responses along with a correction factor to take different oscillation amplitudes, flight conditions, and nonlinear aerodynamic effects due to multi-modal oscillations into account. Thus, the model is valid over a range of conditions rather than one specific set of conditions upon which it is constructed. When compared with CFD simulations, the errors are shown to be relatively small in most cases over a range of Mach numbers, modal frequencies, and modal oscillation amplitudes. Also, an error estimation methodology is developed to give a general sense beforehand as to the errors expected to be incurred through the use of the model.
机译:高超音速车辆控制算法的发展需要对车辆空气动力负荷的准确预测。本文着重于寻找由于多种车辆弹性模态的振荡而产生的时间精确的非稳态载荷。降阶建模方法包括使用模态阶跃响应的卷积以及校正因子来考虑不同的振荡幅度,飞行条件以及由于多模态振荡而引起的非线性空气动力学效应。因此,该模型在一定范围的条件下有效,而不是在构造条件时的一组特定条件下有效。与CFD仿真相比,在大多数情况下,在一定的马赫数,模态频率和模态振荡幅度范围内,误差相对较小。另外,开发了一种误差估计方法,以预先对使用该模型预期会产生的误差给出一般的认识。

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