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Bayesian Sensitivity Analysis of Flight Parameters in a Hard-Landing Analysis Process

机译:硬着陆分析过程飞行参数的贝叶斯灵敏度分析

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摘要

A flight parameter sensor simulation model was developed to assess the conservatism of the landing gear component loads calculated using a typical hard-landing analysis process. Conservatism exists due to factors of safety that are incorporated into any hard-landing analysis process to account for uncertainty in the measurement of certain flight parameters. The flight parameter sensor simulation model consists of 1) an aircraft and landing gear dynamic model to determine the “actual” landing gear loads during a hard landing; 2) an aircraft sensor and data acquisition model to represent the aircraft sensors and flight data recorder systems to investigate the effect of signal processing on the flight parameters; and 3) an automated hard-landing analysis process, representative of that used by airframe and equipment manufacturers, to determine the “simulated” landing gear loads. Using a technique of Bayesian sensitivity analysis, a number of flight parameters are varied in the flight parameter sensor simulation model to gain an understanding of the sensitivity of the difference between actual and simulated loads to the individual flight parameters in symmetric and asymmetric two-point landings. This study shows that the error can be reduced by learning the true value of the following flight parameters: longitudinal tire–runway friction coefficient, aircraft vertical acceleration (related to vertical descent velocity), lateral acceleration (related to lateral velocity), Euler roll angle, mass, center of gravity position, and main landing gear tire type. It was also shown that, due to the modeling techniques used, shock absorber servicing state and tire pressure do not contribute significantly to the error.
机译:开发了飞行参数传感器仿真模型,以评估使用典型的硬着陆分析过程计算的起落架部件载荷的保守性。由于安全因素而存在保守性,这些因素已合并到任何硬着陆分析过程中,以解决某些飞行参数测量中的不确定性。飞行参数传感器仿真模型包括:1)飞机和起落架动力学模型,用于确定硬着陆期间的“实际”起落架载荷; 2)飞机传感器和数据采集模型,代表飞机传感器和飞行数据记录器系统,以研究信号处理对飞行参数的影响; 3)代表机体和设备制造商使用的自动硬着陆分析过程,以确定“模拟的”起落架载荷。使用贝叶斯灵敏度分析技术,可以在飞行参数传感器仿真模型中更改许多飞行参数,以了解实际载荷和模拟载荷之差对对称和非对称两点着陆中各个飞行参数的敏感性。 。这项研究表明,可以通过学习以下飞行参数的真实值来减少误差:纵向轮胎-跑道摩擦系数,飞机垂直加速度(与垂直下降速度有关),横向加速度(与横向速度有关),欧拉侧倾角,质量,重心位置和主起落架轮胎类型。还表明,由于使用了建模技术,减震器的维修状态和轮胎压力对误差的影响不大。

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