【摘要】 在对地攻击中,如果多架无人机被安排执行多个任务,就将面临如何协调无人机来执行任务的问题。最优的分配方案应该首先保证任务完成的准确性。假设有多架无人机和多个目标,这些无人机要对这些目标执行分类、攻击、确认的任务。本文对Corey Schumacher等人提出的一种基于时间约束下的时间分配模型进行了改进,对目标加入威胁因素,以增加模型的灵活性,提高完成任务的准确性。通过仿真计算,证明了改进型模型的可行性。更多还原

【Abstract】 In air-to-ground attacking,if there are multiple Unmanned Aerial Vehicles(UAV) for multiple tasks,the problem of how to coordinate the UAVs to execute the tasks must be solved.The optimal scheme should put the task implementing accuracy at the first.Suppose the UAVs will carry out the tasks of classification,attack and verification to the targets.Corey Schumacher has put forward a task assignment model based on timing constraints.We made improvement to this model by introducing some intimidation factors of target to improve the agility of the model and the task implementing accuracy.From the result of calculation,we obtained the optimal way of task assignment,which proved that our model is feasible.更多还原