The area reconnaissance strategy for UAV swarm based on aerial delivery platform

DOI:	10.11809/bqzbgcxb2023.09.002
Keywords:	aerial delivery platform; UAV swarm; regional reconnaissance; trajectory generation; area rasterization
Abstract:	Regional reconnaissance is one of the most important combat applications of UAV swarm. Aiming at the route optimization design problem of UAV swarm, which relies on remote airdrop and is required to reconnoiter the designated area within the mission cut off time, this paper proposes a block grid self planning route generation strategy. A task list set is designed to describe the progress of reconnaissance activities, and the reconnaissance effect evaluation index is constructed from the perspective of reconnaissance time consumption and the final proportion of reconnaissance area. By optimizing the placement of delivery points and dynamically dividing the task area, the size of the search area allocated to each UAV is nearly equal. The classification feature of adjacent grids is used to design a step by step decision making mechanism for UAV flight path, which can ensure that the gradually generated reconnaissance route can automatically avoid the existing path and regional boundary. By making the distance and energy advantage competition rules, the UAVs that have faster reconnaissance progress are allocated with additional tasks. Thus, the actual time consumption for each UAV to complete the reconnaissance task is almost consistent and the invalid search area is close to zero.
Published:	2023-09-28
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