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Research on beyond visual range target allocation and multi-aircraft collaborative decision-making

机译:超视距目标分配与多机协同决策研究

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The key technologies for beyond visual range target allocation and multi-aircraft cooperative air combat based on the background of unmanned aerial vehicles air combat are detailed description in this paper. beyond visual range target allocation and cooperative air combat are the main forms of modem air combat, there are some key techniques to be studied in the process of the air combat, such as the target recognition and allocation, multi-aircraft communication and information resource sharing, tactical decision-making and the fire control computation tactical decision-making. Multi-aircraft collaborative decision-making is one of the important parts to realize unmanned aerial vehicles air combat of the one-to-many, many-to-many in the beyond visual range air combat, the methods of multi-aircraft collaborative decision-making mainly include artificial intelligence (expert systems, artificial neural networks and fuzzy combat air system), optimization theory (graph theory, multi-target decision making, genetic algorithm and ant colony algorithm), information theory (for example rough set) and so on. These algorithms are able to realize the reasonable allocation of the battlefield and to obtain the maximum benefit at minimum cost.
机译:本文以无人飞行器空战为背景,详细介绍了超视距目标分配和多机协同空战的关键技术。目标分配和合作空战是视觉空域之外的主要形式,它是现代空战的主要形式,在空战过程中还有一些关键技术需要研究,例如目标识别和分配,多机通信和信息资源共享。 ,战术决策和火控计算战术决策。多机协同决策是实现超视距空战中一对多,多对多无人机空战的重要组成部分之一,多机协同决策的方法是制作主要包括人工智能(专家系统,人工神经网络和模糊战斗机系统),优化理论(图论,多目标决策,遗传算法和蚁群算法),信息论(例如粗糙集)等。 。这些算法能够实现战场的合理分配,并以最小的成本获得最大的收益。

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