4D Conflict-Free Trajectory Planning for Fixed-Wing UAV
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Abstract:
Four-dimensional trajectory based operation (4D-TBO) is believed to enhance the planning and execution of efficient flights, reduce potential conflicts and resolve upcoming tremendous flight demand. Most of the 4D trajectory planning related studies have focused on manned aircraft instead of unmanned aerial vehicles (UAVs). This paper focuses on planning conflict-free 4D trajectories for fixed-wing UAVs before the departure or during the flight planning. A 4D trajectory generation technique based on Tau theory is developed, which can incorporate the time constraints over the waypoint sequence in the flight plan. Then the 4D trajectory is optimized by the particle swarm optimization (PSO) algorithm. Further simulations are performed to demonstrate the effectiveness of the proposed method, which would offer a good chance for integrating UAV into civil airspace in the future.
LIAO Wenjing, HAN Songchen, LI Wei, HAN Yunxiang.4D Conflict-Free Trajectory Planning for Fixed-Wing UAV[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2020,37(2):209-222