TY - GEN
T1 - The Formation Control Based on the Direction Coordination for Multiple Hypersonic Vehicles
AU - Zhang, Yuqing
AU - Yu, Jianglong
AU - Ren, Zhang
AU - Dong, Xiwang
AU - Li, Qingdong
AU - Zhou, Yan
AU - Liang, Kaiqiang
AU - Wang, Junxiang
N1 - Publisher Copyright:
© 2023 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2023
Y1 - 2023
N2 - In this paper, a formation strategy based on the direction coordination and consistency of velocity and the optimization of the initial states is introduced for the formation of multiple hypersonic vehicles. Firstly, considering the mode of leader-follower, a two-dimensional controller is designed based on the dynamic model of hypersonic vehicle, which could realize the consistency of flight path angle and azimuth angle between followers and leader. Secondly, the initial states of the vehicles and the control parameters of the controller are taken as optimization variables, and the deformation of the formation during the whole flight is designed as the objective function. Finally, the combination of the PSACO (particle swarm ant colony optimization) algorithm and the SQP (sequential quadratic programming) algorithm is used to solve the optimization model. The simulation results show that the multiple hypersonic vehicles can achieve better formation flight based on the above methods.
AB - In this paper, a formation strategy based on the direction coordination and consistency of velocity and the optimization of the initial states is introduced for the formation of multiple hypersonic vehicles. Firstly, considering the mode of leader-follower, a two-dimensional controller is designed based on the dynamic model of hypersonic vehicle, which could realize the consistency of flight path angle and azimuth angle between followers and leader. Secondly, the initial states of the vehicles and the control parameters of the controller are taken as optimization variables, and the deformation of the formation during the whole flight is designed as the objective function. Finally, the combination of the PSACO (particle swarm ant colony optimization) algorithm and the SQP (sequential quadratic programming) algorithm is used to solve the optimization model. The simulation results show that the multiple hypersonic vehicles can achieve better formation flight based on the above methods.
KW - Multiple hypersonic vehicles
KW - PSACO
KW - SQP
KW - direction coordination
KW - formation control
UR - https://www.scopus.com/pages/publications/85175532820
U2 - 10.23919/CCC58697.2023.10240734
DO - 10.23919/CCC58697.2023.10240734
M3 - 会议稿件
AN - SCOPUS:85175532820
T3 - Chinese Control Conference, CCC
SP - 4059
EP - 4064
BT - 2023 42nd Chinese Control Conference, CCC 2023
PB - IEEE Computer Society
T2 - 42nd Chinese Control Conference, CCC 2023
Y2 - 24 July 2023 through 26 July 2023
ER -