Research Article
UAV Formation Using a Dynamic Task Assignment Algorithm with Cooperative Combat
@INPROCEEDINGS{10.1007/978-3-030-99200-2_9, author={Ying Wang and Yonggang Li and Zhichao Zheng and Longjiang Li and Xing Zhang}, title={UAV Formation Using a Dynamic Task Assignment Algorithm with Cooperative Combat}, proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings}, proceedings_a={CHINACOM}, year={2022}, month={4}, keywords={Unmanned Aerial Vehicle (UAV) Path planning Cooperative task assignment Dynamic task adjustment}, doi={10.1007/978-3-030-99200-2_9} }- Ying Wang
Yonggang Li
Zhichao Zheng
Longjiang Li
Xing Zhang
Year: 2022
UAV Formation Using a Dynamic Task Assignment Algorithm with Cooperative Combat
CHINACOM
Springer
DOI: 10.1007/978-3-030-99200-2_9
Abstract
As the research model of Unmanned Aerial Vehicle (UAV) formation, it is required to complete the combat tasks such as covering reconnaissance, processing battlefield information and striking targets. A cooperative combat model is proposed to assign combat tasks and plan flight paths for Unmanned Aerial Vehicles (UAVs) in scenarios that need to perform differentiated missions. In view of the UAV function’s failure and fail to complete the assigned task, a dynamic task adjustment algorithm is proposed to distinguish the mission stages. Based on the task allocation scheme, the hierarchical adjustment strategy is developed, which take the adjustment time, communication cost and adjustment load into consideration respectively, so as to reduce the adjustment cost and improve the combat capability of the UAV formation on the basis of ensuring the completion of the combat task. Taking the combat formation of UAV as the simulation model, the results show that the proposed algorithm can reduce the adjustment cost and improve the combat capability of the formation on the premise that the formation can complete the combat task.
