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首页> 外文期刊>Journal of Aeronautics, Astronautics and Aviation, A >Post Flight Analysis Based on QAR in FOQA Program for Jet Transport Aircraft - Part II: Accuracy Enhancement of Flight Simulation Database in Response to the Hazardous Weathers
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Post Flight Analysis Based on QAR in FOQA Program for Jet Transport Aircraft - Part II: Accuracy Enhancement of Flight Simulation Database in Response to the Hazardous Weathers

机译：喷气运输机FOQA计划中基于QAR的飞行后分析-第二部分：响应危险天气的飞行模拟数据库的精度增强

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摘要

The commercial transport aircraft sometimes encounter hazardous weathers, such as severe atmospheric turbulence, wind shear in landing phase, etc. In these situations, the dynamic aerodynamic effects are very significant. Obviously, the tabulated data in conventional flight simulators doesn't have sufficient databases to simulate dynamic aerodynamic responses to the hazardous weather conditions. The technique of fuzzy-logic modeling (FLM) is used to establish nonlinear unsteady aerodynamic models. The models can develop the first-order and second-order dynamic derivatives with dynamic aerodynamic effects to unify the proposed quasi-nonlinear models. A jet transport encountered severe atmospheric turbulence is a practical case for the present study. The aerodynamic databases of conventional flight simulator to be improved by the proposed quasi-nonlinear models will be presented in this paper.
机译：商用运输机有时会遇到危险的天气，例如严重的大气湍流，降落阶段的风切变等。在这些情况下，动态空气动力学影响非常明显。显然，常规飞行模拟器中的列表数据没有足够的数据库来模拟对危险天气情况的动态空气动力响应。模糊逻辑建模技术（FLM）用于建立非线性非稳态空气动力学模型。该模型可以开发具有动态空气动力学效应的一阶和二阶动态导数，以统一拟议的拟非线性模型。喷气运输遇到严重的大气湍流是本研究的实际案例。本文将提出的拟非线性模型改进传统飞行模拟器的空气动力学数据库。

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