With the increasingly complex battlefield environment and mission requirements, multi-UAV cooperative combat has become a hot research topic. The deceitful, sudden and hidden combat tasks in the complex battlefield environment put forward higher requirements for the autonomous decision-making ability and the application scope of the task assignment algorithm. For the multi-type and multi-constraint task assignment and reassignment problem, a solution idea is to integrate the knowledge and experience of human handling multi-UAV task assignment problem into the algorithm to improve the intelligence and feasibility of the solution algorithm. In this paper, based on the background of cooperative reconnaissance and attack integration of multiple UAVs in battlefield conditions and considering the temporal constraints of multiple tasks, a multi-type task assignment model is constructed for collaborative operations. On the basis of analyzing the advantages and disadvantages of existing solving algorithms, a heuristic rule-based multi-task assignment and reassignment method is proposed based on human knowledge and experience. Simulation results show that the proposed method is effective in solving multi-type, multi-demand and multi-constraint task assignment problems.
Multi-UAV Cooperative Task Assignment Algorithm Based on Heuristic Rules
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2023 ; Nanjing, China September 09, 2023 - September 11, 2023
Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) ; Chapter : 40 ; 433-443
2024-04-18
11 pages
Article/Chapter (Book)
Electronic Resource
English
Genetic Algorithm for Cooperative UAV Task Assignment and Path Optimization
British Library Conference Proceedings | 2008
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