TY - JOUR
T1 - Distributed adaptive cooperative time-varying formation tracking guidance for multiple aerial vehicles system
AU - Yu, Jianglong
AU - Dong, Xiwang
AU - Li, Qingdong
AU - Lv, Jinhu
AU - Ren, Zhang
N1 - Publisher Copyright:
© 2021 Elsevier Masson SAS
PY - 2021/10
Y1 - 2021/10
N2 - Distributed adaptive cooperative time-varying formation tracking guidance problems of multiple aerial vehicles system against a maneuvering target are investigated. Different from the former results, the proposed cooperative guidance strategies are based on distributed time-varying formation tracking theories. Firstly, the leader aerial vehicle is designed to achieve interception with desired terminal attack angle, which provides a reference trajectory. The uncertain dynamic items and target's uncertain maneuver have been compensated. For the follower aerial vehicles, the distributed cooperative time-varying formation tracking guidance laws are raised. Adaptive distributed extended state observers are introduced to estimate the leader vehicle's states and input information. Then, an algorithm is shown for determining guidance parameters of cooperative guidance laws. Thirdly, the properties and the stabilities of the algorithm are discussed in detail. Finally, a simulation experiment is performed for showing the feasibility and effectiveness of achieved results.
AB - Distributed adaptive cooperative time-varying formation tracking guidance problems of multiple aerial vehicles system against a maneuvering target are investigated. Different from the former results, the proposed cooperative guidance strategies are based on distributed time-varying formation tracking theories. Firstly, the leader aerial vehicle is designed to achieve interception with desired terminal attack angle, which provides a reference trajectory. The uncertain dynamic items and target's uncertain maneuver have been compensated. For the follower aerial vehicles, the distributed cooperative time-varying formation tracking guidance laws are raised. Adaptive distributed extended state observers are introduced to estimate the leader vehicle's states and input information. Then, an algorithm is shown for determining guidance parameters of cooperative guidance laws. Thirdly, the properties and the stabilities of the algorithm are discussed in detail. Finally, a simulation experiment is performed for showing the feasibility and effectiveness of achieved results.
KW - Adaptive control
KW - Cooperative guidance
KW - Distributed extended state observer
KW - Multiple aerial vehicles system
KW - Time-varying formation tracking
UR - https://www.scopus.com/pages/publications/85109525057
U2 - 10.1016/j.ast.2021.106925
DO - 10.1016/j.ast.2021.106925
M3 - 文章
AN - SCOPUS:85109525057
SN - 1270-9638
VL - 117
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
M1 - 106925
ER -