Unmanned cluster system cooperative task area coverage intelligent optimization method

Abstract

The invention discloses an unmanned cluster system cooperative task area coverage intelligent optimization method, which comprises the following steps: step 1, constructing a distributed cluster network taking an unmanned aerial vehicle as a base station, and creating a cluster unmanned aerial vehicle sensing area; step 2, dividing task areas through a GV graph method, distributing divided sub-areas to a cluster, calculating a coverage quality target by the cluster through a coverage quality function and the importance factors distributed in the sub-areas, and obtaining cluster expected state information; and step 3, adjusting an input control law of the unmanned aerial vehicle group system according to the expected state information, enabling the group to reach an optimal state, obtaining optimal state information, and realizing maximum range coverage of the target area. Compared with the prior art, the method has better flexibility and adaptability, and can deal with conditions such as single-point failure and cluster expansion.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle swarm technology, in particular to an intelligent optimization method for cooperative task area coverage of an unmanned swarm system. Background technique [0002] Distributed coverage of UAV swarms is a hot research topic at home and abroad in recent years. The cluster works through the combination of a large number of fast and adaptable UAVs. While maintaining the advantages of networked communication and self-adaptive collaboration, it also meets the needs of cost performance. As a result, UAVs have swarm intelligence in the process of operating and performing tasks, thereby improving various advantages such as economy, quantity, coordination, intelligence, and rapid response. [0003] With the rapid development of related technologies such as communication, navigation, Internet of Things, big data, and artificial intelligence, the cooperative task capability of the UAV cluster system is...

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Problems solved by technology

[0004] In order to solve the above problems, the present invention discloses an intelligent optimization method for cooperative task area coverage of an unmanned swarm system, which solves the problem of a large amount of calculation for dynamic solutions and is a distributed area coverage optimization method that is easy to adapt to changes in the topological structure of the unmanned aerial vehicle cluster , while not relying on the global information of the central control, only relying on the information of adjacent UAVs to guide the UAV cluster to complete the coverage task

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