Research on Urban Low Altitude Logistics UAV Path Design Based on Intelligent Algorithm

In order to improve the path planning efficiency and flight stability of urban low-altitude logistics UAVs in complex urban environments, a system architecture integrating a flight control subsystem, a mission management module, a communication and scheduling platform, and an auxiliary decision-making center is constructed, and a multi-level path planning model integrating an improved ant colony algorithm and a dynamic window method is designed. Experiments show that in the scenario of 0.6 obstacles <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$/ \mathbf{m}^{\mathbf{2}}$</tex> and 600 meters path length, the system path planning time is as low as 162 ms, the maximum deviation of trajectory is controlled within 0.58 meters, and the mission interruption rate is lower than 5.9 %. The results show that the system has good path generation capability and robustness.