航空学报2025，Vol.46Issue(z1)：117-130,14.DOI:10.7527/S1000-6893.2025.32215
非完备信息下无人机近距博弈自主决策
Autonomous decision-making in close-range game under imperfect information for unmanned aerial vehicles
摘要
Abstract
With the development of computer science,automatic control theory,aircraft design and other disciplines,autonomous decision-making of Unmanned Aerial Vehicle(UAV)in close-range game has become one of the key technical problems in the field of UAV.Aimed at the autonomous decision-making problem of UAV in close-range game under incomplete information,this paper proposes an autonomous decision-making method of UAV in close-range game based on pre-trained EfficientZero algorithm.Firstly,a three-degree-of-freedom dynamic model of UAV based on quaternion theory is implemented,and a three-degree-of-freedom close-range game environment model of UAV is established according to this method.Secondly,based on deep neural network,an autonomous decision-making model of UAV close-range game for multi-dimensional continuous state input and multi-dimensional discrete action output is established.On this basis,an optimization method of close-range game decision model based on pre-trained EfficientZero algorithm is proposed.Then,the prediction model of target maneuvering trajectory under incom-plete information is established.Finally,the close-range game simulation experiment of UAV is carried out.关键词
无人机/非完备信息/自主决策/态势预测/人工智能Key words
unmanned aerial vehicles/imperfect information/autonomous decision-making/situation prediction/artificial intelligence分类
航空航天引用本文复制引用
ZHOU Pan,LI Ni,HUANG Jiangtao,YANG Qinglin,LIAN Yunxiao..非完备信息下无人机近距博弈自主决策[J].航空学报,2025,46(z1):117-130,14.基金项目
国家自然科学基金(52372398) National Natural Science Foundation of China(52372398) （52372398）
