An evolutionary game-based information sharing method for UAV swarms

An information sharing and evolutionary game technology, applied in three-dimensional position/channel control and other directions, can solve the problems of vicious competition, difficult to achieve cluster coordination, limited individual rationality, etc., to improve the level of cooperation, maximize cooperation stability and benefits, avoid The effect of vicious competition and local competition

Active Publication Date: 2022-05-10
中国人民解放军66136部队
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Problems solved by technology

However, in the real scene, due to the uneven distribution of resources, unstable communication links, and limited individual rationality in the process of information sharing, each drone will compete for as much information as possible from its own interests. Resources, leading to the emergence of vicious competition, and ultimately it is difficult to achieve cluster coordination

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  • An evolutionary game-based information sharing method for UAV swarms
  • An evolutionary game-based information sharing method for UAV swarms
  • An evolutionary game-based information sharing method for UAV swarms

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Embodiment Construction

[0037] The technical solutions in the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0038] The UAV cluster mentioned in the present invention is based on machine-machine collaboration, such as figure 1 The presented finite mixed uniform UAV swarm composed of multiple UAVs, and the good information sharing of the UAV swarm will effectively support the autonomous collaboration among UAVs. In the process of mission execution, each individual has a certain amount of information resources, but due to the diversity of the external environment, the information resources obtained by UAVs may be unevenly distributed. From the perspective of "bounded rationality", each UAV will try its best to compete for more information resources for its own use in order to maximize its own effectiveness. In order to maximize the overall efficiency, it is necessary to design an effective information sharing mechanism so that the UAV...

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Abstract

The present invention provides an evolutionary game-based information sharing method for unmanned aerial vehicle clusters, which uses evolutionary game theory to improve the cooperation level of unmanned aerial vehicle clusters in information sharing by setting and continuously updating reputation relationships. The drone individual collects and processes the reputation information of other individuals to update the individual knowledge to adapt to the environment, and then interacts with other individuals in the cluster to complete experience interaction and social learning, to achieve co-evolution, and finally form a complex and orderly collective behavior, avoiding Vicious competition and partial competition to achieve overall information sharing and cooperation.

Description

technical field [0001] The invention belongs to the field of unmanned system collaboration, and in particular relates to an information sharing method for unmanned aerial vehicle clusters based on evolutionary game. Background technique [0002] With the improvement of drone autonomy and network capabilities, the working mode of drones in the fields of military operations, logistics and transportation, and information communication is also constantly innovating. Due to the limitations of detection capability and equipment load, it is difficult for a single UAV to complete diverse tasks in complex environments. Therefore, UAV clusters composed of multiple UAVs are an important direction of current development. Due to its excellent maneuverability and group effect, UAV clusters play an extremely important role in the fields of intelligent operations, logistics distribution, security patrols, etc., and whether they can effectively and spontaneously form autonomous coordination ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/10
Inventor 杨国利周理成浩康元基
Owner 中国人民解放军66136部队
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