Unmanned aerial vehicle cluster confrontation control method based on pigeon flock intelligent competitive learning

Abstract

The invention discloses an unmanned aerial vehicle cluster confrontation control method based on pigeon flock intelligent competitive learning. The unmanned aerial vehicle cluster confrontation control method comprises the following implementation steps of 1, initializing cluster confrontation environment setting; 2, establishing an unmanned aerial vehicle cluster confrontation motion control model; 3, establishing a combat target distribution model based on a dynamic game theory; 4, establishing a cost function of unmanned aerial vehicle cluster combat target distribution; 5, designing a pigeon flock optimization algorithm based on a competitive learning mechanism; and 6, outputting an unmanned aerial vehicle cluster confrontation result. The method solves problems of motion control and combat target distribution in unmanned aerial vehicle cluster confrontation, is low in design cost, high in real-time performance and high in stability, has a practical application value, and improves an autonomous ability level in unmanned aerial vehicle cluster confrontation.

Description

technical field

[0001] The invention relates to a UAV cluster confrontation control method based on pigeon group intelligent competitive learning, and belongs to the field of UAV autonomous control. Background technique

[0002] Unmanned Aerial Vehicle (UAV) is an unmanned aircraft with the characteristics of "unmanned platform and manned system". Advantage. Due to the advantages of small size, low cost, strong battlefield survivability, and the ability to avoid casualties, UAVs are widely used in both civil and military fields. However, as the combat environment becomes increasingly complex, it is difficult for a single UAV to complete combat tasks due to the insufficient amount of information it can obtain and the load capacity of its assembled weapons. Through the establishment of a communication network, the UAV swarm can conduct real-time information interaction, realize coordinated investigation, search and strike, and improve the combat effectiveness of the UAV swar...

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