摘要
无人机集群作战已成为一种新兴作战模式。面对日益错综复杂的战场环境,无人机集群对抗博弈是一个重要的研究方向。本文以无人机集群空地对抗为背景,研究无人机集群的对抗博弈过程。分析战场态势的关键因素,通过空间状态矩阵表征战场态势,基于战场态势的动态变化提出自适应权重的经验表达式,并以此给出博弈双方的动态目标收益函数,建立非完全信息下的无人机集群空地对抗博弈模型。仿真验证了自适应权重的合理有效性。本研究为无人机集群空地对抗的动态决策提供了一种新方法。
The non-cooperative game of unmanned aerial vehicle(UAV) swarm in the complex combat environment is an important research field. In this paper,we investigate the dynamic behaviors of UAV swarm in the scenario of air-ground engagement. We analyze the key factors of combat situation,and use the space state matrix to represent the situation of combat. Based on the dynamic changes of combat situation,the dynamic objective functions with adaptive weights are introduced. We propose a model of UAV swarm engagement under incomplete information,and verify the rationality and effectiveness of the adaptive weights.Our work provides new insights into the dynamic decision of UAV swarm.
作者
王尔申
郭靖
宏晨
肖明明
刘畅
曲萍萍
WANG Ershen;GUO Jing;HONG Chen;XIAO Mingming;LIU Chang;QU Pingping(School of Electronic and Information Engineering,Shenyang Aerospace University,Shenyang 110136,China;Liaoning General Aviation Academy,Shenyang Aerospace University,Shenyang 110136,China;Multi Agent System Research Center,Beijing Union University,Beijing 100101,China;Beijing Key Laboratory of Information Service Engineering,Beijing Union University,Beijing 100101,China;College of Robotics,Beijing Union University,Beijing 100101,China;College of Smart City,Beijing Union University,Beijing 100101,China)
出处
《南京航空航天大学学报》
CAS
CSCD
北大核心
2021年第6期888-897,共10页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家重点研发计划(2018AAA0100804)资助项目
国家自然科学基金(62173237,61972040)资助项目
辽宁省重点研发计划(2020JH2/10100045)资助项目
辽宁省自然科学基金面上(2019-MS-251)资助项目
辽宁省“兴辽英才计划”(XLYC1907022)资助项目
辽宁省教育厅科研(JYT2020142)资助项目
沈阳市高层次创新人才计划(RC190030)资助项目。
关键词
无人机集群
空地对抗
对抗博弈
战场态势
动态决策
unmanned aerial vehicle(UAV)swarm
air-ground engagement
non-cooperative game
combat situation
dynamic decision
