RRT*-APF Path Planning and MA-AADRC-SMC Control for Cooperative 3-D Obstacle Avoidance in Multi-UAV Formations
To enable safe cooperative flight of multi-UAV formations in urban 3-D airspace with wind-field disturbances, we develop an integrated planning-control framework.The planning layer uses an APF-guided RRT* with continuous collision prediction and explicit velocity/acceleration limits, and compensates wind online.The control layer adopts a dual-loop MA-AADRC-SMC design. An adaptive ESO estimates disturbances for feed-forward cancellation, and an SMC term improves robustness and tracking accuracy. By coupling the planned trajectory with speed-weighted repulsive fields, the framework coordinates path and attitude in closed loop, enabling collision-free and overshoot-free formation flight in wind and clutter. Simulations show higher tracking accuracy and better formation stability than ADRC, PID and SMC. A Lyapunov analysis proves uniform boundedness and asymptotic stability. The framework is scalable to applications such as disaster assessment and urban air transport.
Authors
- Yuehao Yan (ORCID: https://orcid.org/0000-0002-2222-6436)
- Songlin Liu
- Rui Hao (ORCID: https://orcid.org/0009-0006-7191-5306)
Institutions
- Civil Aviation Flight University of China (CN)
Publication Details
- Journal
- Drones
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3390/drones9090611
- Citations
- 3
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 3.83
Funders
- National Natural Science Foundation of China