Fluid-based moderate collision avoidance for UAV formation in 3-D low-altitude environments
Aiming to address the Unmanned Aerial Vehicle (UAV) formation collision avoidance problem in Three-Dimensional (3-D) low-altitude environments where dense various obstacles exist, a fluid-based path planning framework named the Formation Interfered Fluid Dynamical System (FIFDS) with Moderate Evasive Maneuver Strategy (MEMS) is proposed in this study. First, the UAV formation collision avoidance problem including quantifiable performance indexes is formulated. Second, inspired by the phenomenon of fluids continuously flowing while bypassing objects, the FIFDS for multiple UAVs is presented, which contains a Parallel Streamline Tracking (PST) method for formation keeping and the traditional IFDS for collision avoidance. Third, to rationally balance flight safety and collision avoidance cost, MEMS is proposed to generate moderate evasive maneuvers that match up with collision risks. Comprehensively containing the time and distance safety information, the 3-D dynamic collision regions are modeled for collision prediction. Then, the moderate evasive maneuver principle is refined, which provides criterions of the maneuver amplitude and direction. On this basis, an analytical parameter mapping mechanism is designed to online optimize IFDS parameters. Finally, the performance of the proposed method is validated by comparative simulation results and real flight experiments using fixed-wing UAVs.
Authors
- Jianfa Wu (ORCID: https://orcid.org/0000-0002-7941-995X)
- Menghua Zhang (ORCID: https://orcid.org/0000-0001-8588-3612)
- Xianglun ZHANG
- Zhiyu Li (ORCID: https://orcid.org/0000-0001-5837-0547)
- Qiang Tang (ORCID: https://orcid.org/0000-0001-7678-636X)
- Honglun Wang (ORCID: https://orcid.org/0000-0002-7117-9760)
- Yanxiang WANG
- Shichao MA
Institutions
- China Academy of Space Technology (CN)
- Beihang University (CN)
Publication Details
- Journal
- Chinese Journal of Aeronautics
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1016/j.cja.2024.08.053
- Citations
- 5
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 1.25
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation