高动态协同拓扑在线优化与分布式制导方法
High dynamic cooperative topology online optimization and distributed guidance method
庞博文 1朱建文 1包为民 2李小平1
作者信息
- 1. 西安电子科技大学空间科学与技术学院,西安 710126
- 2. 西安电子科技大学空间科学与技术学院,西安 710126;中国航天科技集团有限公司,北京 100048
- 折叠
摘要
针对高速飞行器集群飞行过程中的分布式协同制导问题,提出了基于最小生成树的自适应拓扑优化与制导方法.构建了飞行器集群通信链路的拓扑图,根据通信代价将距离量化为权值,通过最小生成树中Kruskal算法思想实时生成最优通信拓扑图;采用分布式双层协同制导构架与多中心分布式拓扑优化决策方法,在一致性协同控制律中对协调变量进行补偿计算;实现了飞行器集群协同飞行中的拓扑自适应优化调控.仿真验证结果表明了所提方法的有效性与优异性能.
Abstract
In order to solve the distributed cooperative guidance problem in the flight process of a high-velocity aircraft swarm,this paper proposed an adaptive topology optimization and guidance algorithm based on a minimum spanning tree.The algorithm constructed the topology graph of the communication link of the aircraft swarm,quantified the distance as the weight according to the communication cost,and generated the optimal communication topology graph in real time through the idea of the Kruskal algorithm in the minimum spanning tree.This paper adopted the distributed two-layer cooperative guidance framework and multi-center distributed topology optimization decision-making method and compensated for the consistent variables in the consensus cooperative control law,so as to realize the topology adaptive optimization and control in the cooperative flight of aircraft swarm.Simulation results verify the effectiveness and excellent performance of the proposed algorithm.
关键词
协同制导/拓扑优化/最小生成树/多中心/分布式设计Key words
cooperative guidance/topology optimization/minimum spanning tree/multiple centers/distributed design引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
维普
万方数据