Abstract
Task assignment of unmanned aerial vehicle (UAV) swarm is to coordinate the matching relationship of multiple tasks between UAVs under many constraints such as flight performance and task load capacity, and to achieve a reasonable assignment of resources to complete the set tasks, while maximizing the balance efficiency and profitability. As the core part of mission planning, task assignment is an important guarantee for UAV swarms to complete military missions and through the entire process of UAV operations. Firstly, the typical task assignment model of UAV and its improvement are described. Secondly, the centralized, distributed, and central-distributed solving methods of the model are systematically sorted out, and the applications of typical algorithms are summarized and analyzed. Finally, based on the existing research, the development directions of UAV swarm task assignment field are discussed from four aspects of the establishment of realistic models, task assignment under uncertain conditions, dynamic real-time task assignment, and task assignment based on artificial intelligence methods.
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Li, Q., Xiong, H., Ding, Y., Song, J., Liu, J., Chen, Y. (2023). A Review of Unmanned Aerial Vehicle Swarm Task Assignment. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_624
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DOI: https://doi.org/10.1007/978-981-19-6613-2_624
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