TY - JOUR
T1 - Leader-follower formation of light-weight UAVs with novel active disturbance rejection control
AU - Li, Jiacheng
AU - Liu, Junmin
AU - Huangfu, Shuaiqi
AU - Cao, Guoyan
AU - Yu, Dengxiu
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2023/5
Y1 - 2023/5
N2 - Considering that the formation composed of light-weight UAVs is highly susceptible to the interference, which may from the changes in the external environment and the uncertainty of system, a formation control method based on the inner and outer loops is proposed. In the inner loop, the single UAV stable flight can be achieved via controlling the state variables of UAV angles. In the outer loop, we can achieve multi-UAVs cooperative flight through the leader-follower strategy. In this paper, we mainly focus on the stability control of each member UAV, which is the basic composition of formation control. For this purpose, an optimized active disturbance rejection control (ADRC) is proposed which combined an improved prescribed-time extended state observer (PTESO) and weight optimization module based on broad learning. In this way, the single UAV can dynamically adjust the control weights according to different wind degrees, so that the influence of environmental changes on the control system is reduced. Then, the effectiveness and superiority of the proposed formation control methods are verified by simulations. The stability enhancement control method proposed in this paper provides a new and effective theoretical support for the actual control of the light-weight UAV formation, which has a well engineering application prospect.
AB - Considering that the formation composed of light-weight UAVs is highly susceptible to the interference, which may from the changes in the external environment and the uncertainty of system, a formation control method based on the inner and outer loops is proposed. In the inner loop, the single UAV stable flight can be achieved via controlling the state variables of UAV angles. In the outer loop, we can achieve multi-UAVs cooperative flight through the leader-follower strategy. In this paper, we mainly focus on the stability control of each member UAV, which is the basic composition of formation control. For this purpose, an optimized active disturbance rejection control (ADRC) is proposed which combined an improved prescribed-time extended state observer (PTESO) and weight optimization module based on broad learning. In this way, the single UAV can dynamically adjust the control weights according to different wind degrees, so that the influence of environmental changes on the control system is reduced. Then, the effectiveness and superiority of the proposed formation control methods are verified by simulations. The stability enhancement control method proposed in this paper provides a new and effective theoretical support for the actual control of the light-weight UAV formation, which has a well engineering application prospect.
KW - Broad learning
KW - Environment disturbance
KW - Leader-follower
KW - Light-weight UAV
KW - Optimized ADRC
KW - Prescribed-time
UR - http://www.scopus.com/inward/record.url?scp=85146099914&partnerID=8YFLogxK
U2 - 10.1016/j.apm.2022.12.032
DO - 10.1016/j.apm.2022.12.032
M3 - 文章
AN - SCOPUS:85146099914
SN - 0307-904X
VL - 117
SP - 577
EP - 591
JO - Applied Mathematical Modelling
JF - Applied Mathematical Modelling
ER -