TY - GEN
T1 - Barycenter Control Method for UAV Aerial Recovery Based on Appointed-Time Prescribed Performance Control
AU - Xiong, Zhihua
AU - Wang, Honglun
AU - Li, Jinbai
N1 - Publisher Copyright:
© Beijing HIWING Scientific and Technological Information Institute 2026.
PY - 2026
Y1 - 2026
N2 - To address the issue of barycenter instability caused by aerodynamic interference in the composite structure formed after aerial recovery and docking of unmanned aerial vehicle (UAV), this paper proposes a composite control strategy combining fixed-time convergence and dynamic performance constraints. First, a force analysis is conducted on the composite system, and a nonlinear 6-DOF system model is established. Subsequently, a fixed-time predefined performance function is designed for the composite position loop, the dynamic error boundaries are constructed, and a center of mass control law for the composite position loop is established. Combined with a nonlinear disturbance observer for composite disturbance compensation, the system’s convergence rate is dynamically optimized. Subsequently, based on Lyapunov theory, the stability of the closed-loop system within the preset time is proven. Finally, relevant experimental simulations are conducted, and it is verified that this method can still maintain the coordinated optimization of overshoot suppression and error tracking under strong disturbances, providing a solution that balances theoretical rigor and engineering applicability for unmanned aerial vehicle autonomous recovery in complex disturbance environments.
AB - To address the issue of barycenter instability caused by aerodynamic interference in the composite structure formed after aerial recovery and docking of unmanned aerial vehicle (UAV), this paper proposes a composite control strategy combining fixed-time convergence and dynamic performance constraints. First, a force analysis is conducted on the composite system, and a nonlinear 6-DOF system model is established. Subsequently, a fixed-time predefined performance function is designed for the composite position loop, the dynamic error boundaries are constructed, and a center of mass control law for the composite position loop is established. Combined with a nonlinear disturbance observer for composite disturbance compensation, the system’s convergence rate is dynamically optimized. Subsequently, based on Lyapunov theory, the stability of the closed-loop system within the preset time is proven. Finally, relevant experimental simulations are conducted, and it is verified that this method can still maintain the coordinated optimization of overshoot suppression and error tracking under strong disturbances, providing a solution that balances theoretical rigor and engineering applicability for unmanned aerial vehicle autonomous recovery in complex disturbance environments.
KW - UAV aerial recovery
KW - disturbance-resistant control
KW - fixed-time convergence
KW - prescribed performance control
UR - https://www.scopus.com/pages/publications/105041296759
U2 - 10.1007/978-981-95-7664-7_29
DO - 10.1007/978-981-95-7664-7_29
M3 - 会议稿件
AN - SCOPUS:105041296759
SN - 9789819576630
T3 - Lecture Notes in Electrical Engineering
SP - 311
EP - 320
BT - Proceedings of 5th 2025 International Conference on Autonomous Unmanned Systems, ICAUS - Volume 4
A2 - Xie, Shaorong
A2 - Niu, Yifeng
A2 - Fu, Wenxing
A2 - Qu, Yi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Autonomous Unmanned Systems, ICAUS 2025
Y2 - 17 October 2025 through 19 October 2025
ER -