A combat management method for multi-UAV task assignment

Abstract

The present invention provides a combat management method for multi-unmanned aerial vehicle task assignment, and the specific steps are: step 1, according to the number of targets N and the total number K of task types, generate a target matrix O[N×K] and a task matrix P[N ×K]; step 2, according to the number M of drones, the number N of targets and the total number K of task types, generate a UAV matrix Q[N×K], where M≥N; step 3, according to O [N×K], P[N×K] and Q[N×K] get a three-dimensional array

Description

technical field [0001] The invention relates to a combat management method for multi-unmanned aerial vehicle task assignment, and belongs to the field of intelligent technology. Background technique [0002] Since the 1990s, the new military revolution in the world has led to tremendous changes in the form of combat. Future wars will be multi-dimensional wars involving land, sea, air, and space. The command and management method of aircraft task assignment has more important significance. [0003] At present, scholars at home and abroad have done a lot of research work on the combat management method of multi-UAV task allocation, and have achieved remarkable results, but there are still some key problems to be solved, mainly in the following aspects: first , the ability to support complex combat tasks and constraint processing is insufficient; existing combat tasks include not only independent tasks, that is, tasks that are only related to their own constraints, but also co...

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Problems solved by technology

[0003] At present, scholars at home and abroad have done a lot of research work on the combat management method of multi-UAV task allocation, and have achieved remarkable results, but there are still some key problems to be solved, mainly in the following aspects: first , the ability to support complex combat tasks and constraint processing is insufficient; existing combat tasks include not only independent tasks, that is, tasks that are only related to their own constraints, but also collaborative tasks, that is, tasks that have time or functional constraints between them

At present, many studies assume that each UAV performs independent tasks, ignoring the mutual coordination between UAVs.

Second, the research on cooperative operations of heterogeneous UAVs is insufficient; the current research on cooperative operations of multi-UAVs mainly focuses on the task assignment of the same type or the same UAVs, but the parameters such as mission capabilities and flight loads are different. The lack of in-depth research on the assignment of heterogeneous UAVs in the implementation of tasks, can not give full play to the overall advantages of multi-aircraft cooperative operations

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