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Aircraft turbulence and gust identification using simulated in-flight data

机译：使用模拟飞行中数据的飞机湍流和阵风识别

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Gust and turbulence events are of primary importance for the analysis of flight incidents, for the design of gust load alleviation systems and for the calculation of loads in the airframe. Gust and turbulence events cannot be measured directly but they can be obtained through direct or optimisation-based methods. In the direct method the discretisation of the Fredholm Integral equation is associated with an ill conditioned matrix. In this work the effects of regularisation methods including Tikhonov regularisation, Truncated Single Value Decomposition (TSVD), Damped Single Value Decomposition (DSVD) and a recently proposed method using cubic B-spline functions are evaluated for aeroelastic gust identification using in flight measured data. The gust identification methods are tested in the detailed aeroelastic model of FFAST and an equivalent low-fidelity aeroelastic model developed by the authors. In addition, the accuracy required in the model for a reliable identification is discussed. Finally, the identification method based on B-spline functions is tested by simultaneously using both low-fidelity and FFAST aeroelastic models so that the response from the FFAST model is used as measurement data and the equivalent low-fidelity model is used in the identification process. (C) 2021 The Author(s). Published by Elsevier Masson SAS.
机译：阵风和湍流事件对于飞行事件的分析至关重要，用于阵风负荷减轻系统的设计和机身中的负载计算。无法直接测量阵风和湍流事件，但它们可以通过基于直接或优化的方法获得。在直接方法中，Fredholm积分方程的离散化与不良条件矩阵相关联。在这项工作中，将包括Tikhonov正规化，截短的单值分解（TSVD），阻尼单值分解（DSVD）和最近提出的方法评估使用立方B样条函数的效果，用于使用飞行测量数据进行空气弹性阵风识别。阵风识别方法在作者开发的FFST和等效低保性空气弹性模型的详细空气弹性模型中进行了测试。此外，讨论了模型中所需的准确性。最后，通过使用低保真和FFASTALLACTIC型号同时测试基于B样条函数的识别方法，以便使用FFTR模型的响应用作测量数据，并且在识别过程中使用等效的低保真模型。 （c）2021提交人。由Elsevier Masson SA出版。

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