基于群体协同的无人水面艇任务优化策略研究
Research on task optimization strategy for unmanned surface vehicles based on group collaboration
卜晓东 1袁红刚 1褚福照 1王雨婷1
作者信息
- 1. 中国船舶集团有限公司第七二六研究所 上海 201108
- 折叠
摘要
针对群体多任务分解难、效能难聚优等问题,提出了一种基于群体协同的任务优化策略.基于群体协同理论,重点分析了无人艇群协同探测典型任务,构建协同任务评估指标体系,评估无人艇群在不同环境场景下的任务执行寻优策略.仿真试验显示,完成任务时间提升约10％,且在平静、多风浪水域条件下,覆盖率分别提高了约7.32％和4.19％,该方法能有效提高任务分配和资源利用的效率,为艇群在复杂环境下执行协同任务提供了有力参考.
Abstract
A task optimization strategy based on group collaboration is proposed to address issues such as difficulty in decomposing group multitasking and difficulty in aggregating efficiency.Based on the theory of group collaboration,the typical collaborative detection tasks of USV groups were analyzed,and a collaborative task evaluation index system was constructed.Evaluate their task execution optimization strategies in different environmental scenarios.Simulation experiments show that the completion time of the task has increased by about 10％.Under calm and stormy conditions,its coverage increased by approximately 7.32％and 4.19％,respectively.This method can effectively improve the efficiency of task allocation and resource utilization,providing a powerful reference for boat groups to perform collaborative tasks in complex environments.
关键词
无人艇群/协同任务/寻优策略Key words
USV groups/Collaborative tasks/Optimization strategy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据