Cluster unmanned aerial vehicle grouping assignment method and system, controller, medium and terminal

Abstract

The invention belongs to the technical field of cluster unmanned aerial vehicle path planning, and discloses a cluster unmanned aerial vehicle grouping assignment method and system, a controller, a medium and a terminal. The method comprises the following steps that cluster unmanned aerial vehicles are automatically divided into N groups according to the actual performance requirements of the cluster unmanned aerial vehicles, and the unmanned aerial vehicles in each group can only perform assignment calculation in the group; a number mapping mode from the initial position dot matrix to the target position dot matrix of each group of unmanned aerial vehicles is determined; each group of unmanned aerial vehicles flies to a corresponding position in the target dot matrix according to a respective number mapping mode; and all the unmanned aerial vehicles fly to the target position, and path transformation is completed. According to the method, the grouping assignment result of the cluster unmanned aerial vehicle performance can be quickly calculated, so that the grouping assignment process becomes simple and easy, and grouping assignment calculation of the cluster unmanned aerial vehicle can be realized; the flight conversion time of the cluster unmanned aerial vehicle is greatly shortened; and the flight conversion safety of the cluster unmanned aerial vehicle is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of path planning of clustered unmanned aerial vehicles, and in particular relates to a grouping assignment method, system, controller, medium and terminal of clustered unmanned aerial vehicles. Background technique [0002] At present, during the light show of cluster drones, it is necessary to continuously change the formation to display different performance images. In the process of formation change, sometimes all drones need to participate in the formation change, sometimes only some drones need to participate in the formation change, and some drones remain hovering unchanged. Therefore, it is necessary to group the cluster UAVs according to whether they participate in the formation change, and finally assign groups according to the results of the grouping. [0003] The performance formation of drones is relatively messy, and the lights are generally turned off. Due to the limited endurance of UAVs, in...

AI Technical Summary

Problems solved by technology

[0005] (1) The existing swarm drones cannot perform effective group assignment calculations during the path assignment process;

[0006] (2) The group assignment calculation process is cumbersome, and the calculation result is poor, and it is only a local optimum;

[0007] (3) There are a large number of path intersection avoidance cases in the calculation results, which cannot guarantee flight safety

[0009] The existing technology cannot realize group assignment calculation, and the group assignment calculation process is cumbersome

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