无人机智能机动决策方法

Huan Zhou, Xiaoyan Zhang, Chu Sun
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引用次数: 1

摘要

无人机机动决策是无人机空域任务执行的关键环节,是无人机智能的核心体现,最能体现无人机“大脑”的智能。综述了无人机智能机动决策方法。首先介绍了无人机智能机动决策存在的问题及应用背景。然后,分析了国内外机动决策方法的研究现状。智能机动决策分为基于博弈论的机动决策和基于人工智能的机动决策两个方面。博弈论主要研究微分博弈、矩阵博弈和影响图,人工智能主要研究专家系统、智能优化理论和神经网络。最后,设计了一种新的基于鸟类觅食搜索算法的空战智能机动决策方法,并通过仿真实验进行了验证。总结无人机智能机动决策方法将有助于该领域的创新研究,从而促进机动决策技术的快速发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent maneuver decision method of unmanned aerial vehicle
As the key link of airspace task execution, UAV maneuver decision-making is the core intelligence embodiment of UAV, which can best represent the intelligence of UAV "brain". This paper summarizes the intelligent maneuver decision-making methods of UAV. Firstly, the problem and application background of UAV intelligent maneuver decision-making are introduced. Then, the research status of maneuver decision-making methods at home and abroad is analyzed. Intelligent maneuver decision-making is divided into two aspects: maneuver decision-making based on game theory and artificial intelligence. Game theory focuses on differential game, matrix game and influence diagram, Artificial intelligence focuses on expert system, intelligent optimization theory and neural network. Finally, a new air combat intelligent maneuver decision-making method based on bird foraging search algorithm is designed and verified by simulation experiments. The summary of UAV intelligent maneuver decision-making methods will contribute to the innovative research in this field, so as to promote the rapid development of maneuver decision-making technology.
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