TY - GEN
T1 - Multi-UAV mission planning method
AU - Huang, Tianyu
AU - Wang, Yue
AU - Cao, Xiaowen
AU - Xu, Dongfang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/27
Y1 - 2020/11/27
N2 - Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.
AB - Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.
KW - Genetic algorithm
KW - Mission planning
KW - Simulated annealing algorithm
UR - http://www.scopus.com/inward/record.url?scp=85098986398&partnerID=8YFLogxK
U2 - 10.1109/ICUS50048.2020.9274958
DO - 10.1109/ICUS50048.2020.9274958
M3 - Conference contribution
AN - SCOPUS:85098986398
T3 - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
SP - 325
EP - 330
BT - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Unmanned Systems, ICUS 2020
Y2 - 27 November 2020 through 28 November 2020
ER -