Method for achieving coordinated flight of multiple unmanned aerial vehicles

Abstract

The invention belongs to the technical field of multiple unmanned aerial vehicles, and particularly relates to a method for achieving coordinated flight of multiple unmanned aerial vehicles, wherein the method can be used for target tracking, flight path optimization, coordinated management, coordinated flight and task distribution of the multiple unmanned aerial vehicles. The method includes the steps of determining the number of flight task objects, determining operating parameters of the leading aerial vehicles and the following aerial vehicles in the multiple unmanned aerial vehicles, determining whether the following aerial vehicles in each task group should follow and fly to task objects or not by setting navigation marks, setting the flying states of the leading aerial vehicles, and enabling the leading aerial vehicles to fly to the task destinations respectively and to return to the starting places respectively after arriving at the destinations, wherein for the following aerial vehicles, 0 stands for that the leading aerial vehicles have not returned, 1 stands for that the leading aerial vehicles have returned and can start following flight, for the leading aerial vehicles, 0 stands for that the leading aerial vehicles are in the process of searching for targets, 1 stands for that the leading aerial vehicles are in the process of returning to the starting places, and 2 stands for that the leading aerial vehicles are in the process of leading the following aerial vehicles to fly to the task destinations. Information is shared, and therefore the multiple unmanned aerial vehicles is made to have higher autonomy, flexibility and safety in coordinated flight, and the efficiency is improved when the multiple unmanned aerial vehicles are used in cooperation for executing the task.

Description

technical field [0001] The invention belongs to the field of multi-UAV technology, and specifically relates to a multi-UAV cooperative flight method that can be used for multi-UAV target tracking, track optimization, cooperative management, cooperative flight, and task assignment. Background technique [0002] In the complex and changeable information battlefield environment in the future, it will be difficult for a single UAV to complete the task. In many cases, it must be completed through cooperative control of multiple UAVs; each UAV requires a 1 A crew of up to 3 assigns, negotiates and coordinates many human fighters. In addition to the cost of human operators, this approach encounters unsolvable challenges in how to achieve coordination. Under the constraints of today's technology, it is still quite difficult for unmanned aerial vehicles to reach the powerful information processing capabilities and intelligence of pilots. Intelligence can match or even surpass the n...

AI Technical Summary

Problems solved by technology

None of them have solved key issues such as cooperative control, track planning, and collision avoidance in UAV swarm flight from the perspective of simulating the actual biological behavior of bee colonies. They only solve abstract problems from the perspective of optimization. Questions have limited effect

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