Research on manned/unmanned aircraft formation cooperative task allocation based on hierarchical hybrid auction algorithm

The manned/unmanned aircraft collaborative task allocation is developed on the basis of the multi-UAV task planning method, which can give full play to the pilot's human intelligence at critical moments, and is a complement to the lower intelligence of UAVs to improve the system's environmental adaptability and effectiveness. In this paper, we propose a task allocation method based on hierarchical decision-making mechanism and contract net auction algorithm improvement. From the perspective of confrontation between two sides of the air war, the types of tasks that UAVs need to perform in the battlefield are analysed. In the process of task bundle construction, each attribute value of the tasks in the battlefield is quantified, and then handed over to the manned aircraft decision-making mechanism to construct a reasonable auction sequence. In the auction process, target coverage and penalty terms are introduced to improve the objective function, which is used to balance the task allocation load among UAVs. Finally, the effectiveness of the proposed method is verified by experimental simulation.