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Research on dynamic task allocation method of heterogeneous multi-UAV based on consensus based bundle algorithm

机译:基于共识的束算法的异构多维维维动态任务分配方法研究

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When the multi-UAV system perform tasks in the risk and confrontation environment, the task situation will evolve with time and space, and the original plan will be disturbed in the dynamic environment, thus affecting the overall task execution efficiency. Dynamic planning is to adjust the configuration of multi-UAV system reasonably according to the situation change, so as to meet the following task coordination relationship. In this paper, a dynamic distributed task dynamic planning method is proposed to solve the problem of changing the number of tasks in dynamic environment. Dynamic planning is based on the consensus-based bundle algorithm (CBBA), considering the heterogeneous characteristics of UAVs and the time sequence coupling relationship of the tasks, and making fast local adjustment for the original plan. The dynamic planning method can dynamically adjust the number and value of reset tasks, so as to meet the needs of high time sensitive tasks, which is suitable f or large-scale UAVs control.
机译:当多UAV系统在风险和对抗环境中执行任务时,任务情况将随时间和空间演变,并且原始计划在动态环境中会受到干扰,从而影响整体任务执行效率。动态规划是根据情况发生变化来调整多UV系统的配置,从而满足以下任务协调关系。本文提出了一种动态分布式任务动态规划方法,解决了改变动态环境中任务数的问题。动态规划基于基于共识的束算法(CBBA),考虑到无人机的异构特性和任务的时间序列耦合关系,并为原始计划提供快速局部调整。动态规划方法可以动态调整重置任务的数量和值,以满足高时间敏感任务的需求,这是合适的F或大规模的无人机控制。

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