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A Four-Dimensional Space-Time Automatic Obstacle Avoidance Trajectory Planning Method for Multi-UAV Cooperative Formation Flight
| Content Provider | MDPI |
|---|---|
| Author | Zhang, Jie Sheng, Hanlin Chen, Qian Zhou, Han Yin, Bingxiong Li, Jiacheng Li, Mengmeng |
| Copyright Year | 2022 |
| Description | Trajectory planning of multiple unmanned aerial vehicles (UAVs) is the basis for them to form the formation flight. By considering trajectory planning of multiple UAVs in formation flight in three-dimensional space, a trajectory planning method in four-dimensional space-time is proposed which, firstly, according to the formation configuration, adopts the Hungarian algorithm to optimize the formation task allocation. Based on that, by considering the flight safety of UAVs in formation, a hierarchical decomposition algorithm in four-dimensional space-time is innovatively put forward with spatial positions and time constraints both considered. It is applied to trajectory planning and automatic obstacle avoidance under the condition of no communication available between UAVs in the formation. The simulation results illustrated that the proposed method is effective in cooperative trajectory planning and automatic obstacle avoidance in advance for multiple UAVs. Meanwhile, it has been tested in a Swarm Unmanned Aerial System project and boasts quite significant value in engineering applications. |
| Starting Page | 192 |
| e-ISSN | 2504446X |
| DOI | 10.3390/drones6080192 |
| Journal | Drones |
| Issue Number | 8 |
| Volume Number | 6 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-31 |
| Access Restriction | Open |
| Subject Keyword | Drones Industrial Engineering Formation Flying Formation Transformation Hungarian Algorithm Trajectory Planning Task Allocation Flight Control Automatic Obstacle Avoidance |
| Content Type | Text |
| Resource Type | Article |
