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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ICMA2017.pdf(1500KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论