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AERODYNAMIC MODELING AND SYSTEM IDENTIFICATION FROM FLIGHT DATA

机译：航空数据的气动建模和系统识别

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摘要

System identification is fundamental to modeling of any observed dynamic process. This overview presentation brings out why and what system identification is as applied to flitht vehicles. A historical background is briefly provided, tracing the developments to the 18th Century and early flight experiments in 1920s. Transition from classical to modern methods is brought out, highlighting the unified Quad-M approach to flight vehicle system identification that has evolved over the last three decades. Various aspects of kinematic consistency checking of recorded flight data and typical problems encountered are covered in detail. This is followed by several advanced examples pertaining to aerodynamic databases, covering (1) modeling at extreme flight conditions of large sideslip angles and stall hysteresis, (2) proof-of-match for critical flight phases, and (3) Phoenix RLV demonstrator. At the end, re-emerging aspects of recursive parameter estimation are briefly presented. The paper is concluded by indicating the possible future directions of work.
机译：系统识别是任何观察到的动态过程建模的基础。此概述演示了为什么以及如何将系统标识应用于平整车辆。简要介绍了其历史背景，追溯了18世纪的发展以及1920年代的早期飞行实验。提出了从传统方法到现代方法的过渡，强调了过去三十年来发展起来的用于飞行器系统识别的统一Quad-M方法。详细记录了飞行数据的运动学一致性检查的各个方面以及遇到的典型问题。接下来是几个与空气动力学数据库相关的高级示例，涵盖了（1）在大侧滑角和失速滞后的极端飞行条件下进行建模，（2）关键飞行阶段的匹配证明以及（3）Phoenix RLV演示器。最后，简要介绍了递归参数估计的重新出现方面。本文最后指出了未来可能的工作方向。

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