Dynamic offense and defense of UAV swarm based on situation evolution game

被引：3
|
作者：
Sheng L. [1 ,2 ]
Shi M. [1 ]
Qi Y. [1 ]
Li H. [1 ]
Pang M. [2 ]
机构：
[1] Air Force Early Warning Academy, Wuhan
[2] Unit 95894 of the PLA, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 08期
关键词：
agent decisionmaking; evolutionary game; situation assessment; swarm confrontation strategy; unmanned aerial vehicle (UAV);
D O I：
10.12305/j.issn.1001-506X.2023.08.06
中图分类号：
学科分类号：
摘要：
To solve the problem of dynamic offense and defense in unmanned aerial vehicle (UAV) swarms, a situation evolution game model is proposed. Firstly, building upon the interactions between both the base and the defender' s UAV swarms, as well as the descriptions of the dynamic struggle between offender and defender, a situation evolution game model is established by taking into account situation evolution among offending and defending UAVs. Secondly, a corresponding situation evaluation function is designed to optimize individual strategy selection at each stage of combat. Then, based on this strategy selection and through the use of the social force model, the UAVs are driven to move towards designated targets, resulting in a dynamic confrontation between the offending and defending UAV swarms. Experimental results demonstrate that the dynamic movement of the UAV swarms conforms to those observed in actual air combat scenarios, verifies the superior position of a functioning base, and confirms the accuracy of the UAV swarms'adaptive decision-making through the use of the situation evolution game model. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：2332 / 2342
页数：10
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