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Identification from Flight Data of the Aerodynamics\ud of an Experimental Re-Entry Vehicle

机译:从空气动力学的飞行数据中识别\ ud 实验性再入车辆的设计

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摘要

Post flight data analyses are essential activities in aerospace projects. In particular, there is a\udspecific interest in obtaining vehicle aerodynamic characteristics from flight data, especially\udfor re-entry vehicle, in order to better understand theoretical predictions, to validate wind-\udtunnel test results and to get more accurate and reliable mathematical models for the\udpurpose of simulation, stability analysis, and control system design and evaluation. Indeed,\uddue to atmospheric re-entry specificity in terms of environment and phenomena, ground\udbased experiments are not fully exhaustive and in-flight experimentation is mandatory.\udMoreover pre-flight models are usually characterised by wide uncertainty ranges, which\udshould be reduced. These objectives can be reached by performing vehicle’s model\udidentification from flight data.
机译:飞行后数据分析是航空航天项目中的重要活动。特别地,特别需要从飞行数据中获得飞行器的空气动力特性,尤其是对于再入飞行器的飞行器,以便更好地理解理论预测,验证风洞测试结果并获得更准确可靠的数学模型。用于仿真,稳定性分析以及控制系统设计和评估的\模型。确实,由于在环境和现象方面大气再入的特殊性,基于地面的基于ud的实验并不能完全穷举,并且必须进行飞行中的实验。\ ud此外,飞行前模型通常具有较大的不确定性范围,这\减少。这些目标可以通过根据飞行数据执行飞行器的模型/识别来实现。

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