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Optimal UAVs formation transformation strategy based on task assignment and Particle Swarm Optimization
Sui Zezhi1,2; Pu Zhiqiang1,2; Yi Jianqiang1,2
2017-08
会议名称2017 IEEE International Conference on Mechatronics and Automation (ICMA)
会议日期Aug 6-9, 2017
会议地点Takamatsu, Japan
出版者Institute of Electrical and Electronics Engineers Inc
摘要

A nested optimization strategy based on task assignment and Particle Swarm Optimization (PSO) is proposed to solve the optimization problem of formation transformation. Both the corresponding assigned target positions of interchangeable UAVs from initial formation to target formation and the relative position relationship between two formations are investigated in this paper. The Hungarian algorithm is used to rapidly solve the assignment problem, while the PSO is adopted to compute the optimal relative position relationship iteratively. To demonstrate the effectiveness and the universality of the proposed strategy, simulation results considered different situations are presented.

收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/39695
专题综合信息系统研究中心
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.Institute of Automation, Chinese Academy of Sciences, Beijing, China
第一作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Sui Zezhi,Pu Zhiqiang,Yi Jianqiang. Optimal UAVs formation transformation strategy based on task assignment and Particle Swarm Optimization[C]:Institute of Electrical and Electronics Engineers Inc,2017.
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