A method for dynamic recovery of UAV swarms

Abstract

The invention discloses a dynamic recycling method for unmanned aerial vehicles, which belongs to the technical field of unmanned aerial vehicles; specifically, on the basis of obtaining the environmental information of the unmanned aerial vehicles, combining the tasks to be completed by each unmanned aerial vehicle itself Based on different factors such as the quantity, the distance from the recovery point, and the current performance, the total cost function is constructed, and optimized through the improved particle swarm optimization algorithm, and the priority ranking of each drone is obtained under the premise of the lowest recovery cost. At the same time, it is also necessary to consider the obstacles encountered by the UAV group during the flight, the conflict resolution, and the possible failure of the recovery when hitting the line. The drones are reordered to ensure the flight safety of the drone group and the robustness of the algorithm. The invention has low algorithm complexity and high calculation precision, and can effectively solve the problem of dynamic recovery of unmanned aerial vehicle groups in complex environments.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicles, and relates to a method for dynamically recovering an unmanned aerial vehicle group. Background technique [0002] UAVs have many advantages such as low cost, low loss, and high survival rate. They have been used in many fields such as military reconnaissance, disaster monitoring, pesticide spraying, and express transportation. As the flight environment becomes increasingly complex and changeable, the execution capability of a single UAV is increasingly unable to meet the needs of actual missions. Multi-UAV cluster formations to complete tasks together have become the main mode of future UAV clusters. [0003] UAV swarms can control a larger range, realize functional complementarity and task sharing, etc. Therefore, UAV swarms can perform complex tasks, shorten the time to perform tasks, and improve attendance efficiency, which is of great significance to the cooperation of UAV ...

AI Technical Summary

Problems solved by technology

As the flight environment becomes increasingly complex and changeable, the execution capability of a single UAV is increasingly unable to meet the actual task requirements, and multi-UAV cluster formations to jointly complete tasks have become the main mode of future UAV clusters

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