基于分层多智能体的多星联合任务规划架构研究  

Research on Multi-satellite Joint Mission Planning Architecture Based on Hierarchical Multi-agent

作　　者：付伟[1] 贾洪志 林晓勇 陈金勇[1] 张超[1] 岳群彬[1] FU Wei;JIA Hongzhi;LIN Xiaoyong;CHEN Jinyong;ZHANG Chao;YUE Qunbin(The 54th Research Institute of CETC,Shijiazhuang 050081,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081

出　　处：《无线电通信技术》2024年第5期993-999,共7页Radio Communications Technology

摘　　要：随着卫星规模、种类的不断增长,现有卫星任务规划技术架构已很难满足多类型卫星联合运用的有效性及可扩展性要求。通过深入分析多星任务筹划、单星任务规划、数传资源规划等环节,建立了基于分层多智能体的多星联合任务规划技术架构,设计了与架构匹配的相关优化算法及智能体功能实现机制,实现了多星联合任务规划能力。仿真实验及分析结果表明,该架构对多类型卫星联合任务规划场景有良好的适用性。With the increasing scale and variety of satellites,the existing technical framework of satellite mission planning has been difficult to meet the effectiveness and scalability requirements of joint application of multi-type satellites.Through in-depth analysis of multi-satellite mission planning,single-satellite mission planning,data transmission resources planning and other links,an architecture of multi-satellite joint mission planning based on hierarchical multi-agent is established,and related optimization algorithm and agent function realization mechanism are designed to realize the capability of multi-satellite joint mission planning.Simulation experiments and analysis results show that the architecture has good applicability for multi-type satellite joint mission planning scenarios.

关 键 词：卫星任务规划 多星联合任务规划 智能体技术 

分 类 号：V474.2[航空宇航科学与技术—飞行器设计]