Multiple Carrier UAV Path Planning Based on Hybrid A
Tao Zhu, Na Qin, Deqing Huang, Mingwei Li, Yongjie Mao, Dewang Chen · 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) · 2022
Unmanned aerial vehicles (UAVs) are becoming more and more important in modern warfare, and future carrier UAVs will also be indispensable for the improvement of aircraft carrier combat capabilities. Taking into account the future trend of unmanned combat and the ease of dealing with the environment such as path planning in the hangar, the carrier UAV in this article needs to consider reversing motion. Based on this, a mathematical model for path planning is established and a hybrid A-star algorithm is introduced. The path planning problem of shipborne UAV. In addition, the previous multi-carrier UAV path planning did not consider the impact of the dispatch process, so this paper proposes a conflict avoidance strategy for multi-carrier UAV path planning. The simulation results show that the hybrid A* is effective in the path planning of carrier UAVs, and the proposed multi-carrier UAV conflict avoidance strategy can fully meet the given constraints. It shows that the method proposed in this paper can effectively cope with the path planning task of carrier UAV.