基于动态联盟策略的无人机集群在线任务规划方法

Mengyang Wang, Dong Zhang, Shuo Tang, Bin Xu, Junmin Zhao

科研成果: 期刊稿件文章同行评审

7 引用 (Scopus)

摘要

A distributed online mission planning method based on a dynamic alliance strategy is proposed to deal withthe complex problems of high dynamics, strong uncertainty, and multiple constraints of UAV swarm mission planning in a complex battlefield environment. Firstly, the typical scenarios of UAV swarm dynamic mission planning are described, and the mathematical model of multi-constraint distributed mission planning ofthe heterogeneous UAV swarm is established. Secondly, a task alliance formation strategy considering the dynamic topological constraints of the UAV swarm is designed, and an improved ant colony algorithm coupled with Dubins path planning is proposed to realize the online solution of dynamic mission planning with multiple constraints and strong uncertainties. Finally, typical task simulation scenarios of theheterogeneous UAV swarm is constructed, and the effectiveness of the proposed strategy and algorithm is verified by digital simulations and virtual-real semi-physical simulations. The results show that the proposed method can achieve better system performance with less loss of mission completion time in the dynamic mission planning process, which is of some significance for further research work towards engineering applications.

投稿的翻译标题UAV Swarm On-line Mission Planning Method Based on Dynamic Allocation Strategy
源语言繁体中文
页(从-至)2207-2223
页数17
期刊Binggong Xuebao/Acta Armamentarii
44
8
DOI
出版状态已出版 - 8月 2023

关键词

  • mission alliance
  • mission planning
  • one-line algorithm
  • swarm system
  • UAV

指纹

探究 '基于动态联盟策略的无人机集群在线任务规划方法' 的科研主题。它们共同构成独一无二的指纹。

引用此