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Influence of unmanned combat aerial vehicle agility on short-range aerial combat effectiveness

机译:无人机作战敏捷度对近程空中作战效能的影响

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The flight agility of an unmanned combat aerial vehicle (UCAV) determines its ability to rapidly transition from one state to another. In this paper, the influence of flight agility on short-range aerial combat effectiveness is quantitatively investigated. This research is based on one-on-one three-dimensional aerial combat engagements. First, a 6-DOF mathematical model of the UCAV is established, and a nonlinear dynamic inverse controller is designed. The flight agility is calculated based on the 180 degrees flight heading reverse maneuver, and the influence of the control law parameters is studied. To implement autonomous intelligent aerial combat engagements, a three-dimensional approximate dynamic programming method is proposed. The performance of the designed algorithm is validated through both Monte Carlo simulations with various initial conditions and engagements with another algorithm for comparison. After training, the aerial combat simulation framework is constructed by combining the point-mass-based guidance law and a nonlinear UCAV model. Combat engagements are conducted between UCAVs with different configurations. The quantitative results are evaluated through Monte Carlo simulations and correlation analysis. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:无人机作战飞行器(UCAV)的飞行敏捷性决定了其从一种状态迅速过渡到另一种状态的能力。本文定量研究了飞行敏捷度对短程空战效能的影响。这项研究基于一对一的三维空中战斗交战。首先,建立了UCAV的6自由度数学模型,并设计了非线性动态逆控制器。基于180度飞行航向反向机动计算飞行敏捷度,研究了控制律参数的影响。为了实现自主智能空战交战,提出了一种三维近似动态规划方法。通过各种初始条件下的蒙特卡洛仿真以及与另一种算法的比较来验证所设计算法的性能。训练后,通过结合基于点质量的制导律和非线性UCAV模型来构建空战仿真框架。战斗交战在具有不同配置的UCAV之间进行。通过蒙特卡洛模拟和相关分析评估定量结果。 (C)2019 Elsevier Masson SAS。版权所有。

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