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Assessment of UCAV Stability and Control Prediction Methods

机译:UCAV稳定性和控制预测方法评估

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The ability to accurately predict both static and dynamic stability characteristics of air vehicles using computational fluid dynamics (CFD) methods could revolutionize the air vehicle design process, especially for military air vehicles. A validated CFD capability would significantly reduce the number of ground tests required to verify vehicle concepts and, in general, could eliminate costly vehicle 'repair' campaigns required to fix performance anomalies that were not adequately predicted prior to full-scale vehicle development. This paper outlines the extended integrated experimental and numerical approach to assess the of stability and control prediction method capabilities as well as the design and estimation the control device effectiveness for highly swept low observable UCAV configurations. The aim of the AVT-201 Task Group is to provide an assessment of the CFD capabilities using model scale experiments and transferring this knowledge to real scale applications.
机译:使用计算流体动力学(CFD)方法可以准确地预测空气车辆静态和动态稳定性特性的能力可以彻底改变空气车辆设计过程,特别是用于军用空气车辆。 经过验证的CFD功能将显着减少验证车辆概念所需的地面测试的数量,并且通常可以消除昂贵的车辆“修复”活动,以修复在全规模载体开发前未得到充分预测的性能异常所需的运动。 本文概述了扩展的集成实验和数值方法,以评估稳定性和控制预测方法能力以及对高度扫过的低可观察UCAV配置的控制设备效能的设计和估算。 AVT-201任务组的目的是使用模型规模实验提供CFD功能的评估,并将这些知识转移到实际规模应用程序。

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