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Aircraft parameter estimation -a tool for development of aerodynamic databases

机译:飞机参数估计-开发空气动力学数据库的工具

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摘要

With the evolution of high performance modern aircraft and spiraling developmental and experimental costs, the importance of flight validated databases for flight control design applications and for flight simulators has increased significantly in the recent past. Ground-based and in-flight simulators are increasingly used not only for pilot training but also for other applications such as flight planning, envelope expansion, design and analysis of control laws, and handling qualities investigations. Most of these demand a high-fidelity aerodynamic database representing the flight vehicle. System identification methodology, evolved over the past three decades, provides a powerful and sophisticated tool to identify from flight data aerodynamic characteristics valid over the entire operational flight envelope. This paper briefly presents aircraft parameter estimation methods for both stable and unstable aircraft, highlighting the developmental work at the DLR Institute of Flight Mechanics. Various aspects of database identification and its validation are presented. Practical aspects like the proper choice of integration and optimization methods as well as limitations of gradient approximation through finite-differences are brought out. Though the paper f9cuses on application of system identification methods to flight vehicles, its use in other applications, like the modelling of inelastic deformations of metallic materials, is also presented. It is shown that there are many similar problems and several challenges requiring additional concepts and algorithms.
机译:随着高性能现代飞机的发展以及不断增加的开发和实验成本,最近经过飞行验证的数据库对于飞行控制设计应用程序和飞行模拟器的重要性显着提高。地面和飞行模拟器不仅用于飞行员培训,而且还用于其他应用,例如飞行计划,包线扩展,控制律的设计和分析以及处理质量调查。其中大多数要求代表飞行器的高保真空气动力学数据库。在过去的三十年中发展起来的系统识别方法,提供了一种功能强大且复杂的工具,可以从飞行数据中识别在整个运行飞行包线内有效的空气动力学特性。本文简要介绍了稳定和不稳定飞机的飞机参数估计方法,重点介绍了DLR飞行力学研究所的发展工作。介绍了数据库识别及其验证的各个方面。提出了一些实用方面,例如正确选择积分和优化方法以及通过有限差分限制梯度逼近。尽管论文重点讨论了系统识别方法在飞行器上的应用,但也提出了其在其他应用中的应用,例如金属材料的非弹性变形建模。结果表明,存在许多类似的问题和一些挑战,需要附加的概念和算法。

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