城市无人机航迹算法研究及仿真分析

Research and Simulation Analysis of Urban UAV Track Algorithm

近几年,无人机运输逐渐被广泛应用,无人机在城市实际运输航迹的规划急需解决。通过通用墨卡托投影法,将成都市特定区域内无人机实际投放的节点地理位置投影到二维坐标系下,利用Global Mapper计算并转换无人机二维运输航迹节点坐标,结合旅行商问题为无人机作业规划一条最短航迹,通过蚁群算法实现问题的最优化,运用MATLAB仿真并计算得到成都市特定区域无人机运输最短航迹网络。仿真结果验证了方法的正确性,为无人机城市运输规划最优航迹提供参考。

In recent years,drone transport has gradually been put on the agenda,and the planning of the actual transport track of drones in the city needs to be urgently resolved.The UTM projection method is used to project the geographic location of the nodes actually launched by the drone in a specific area of Chengdu into a two dimensional coordinate system.The Global Mapper is used to calculate and convert the coordinates of the two dimensional transport track node of the drone.The TSP problem is solved as a drone operation plans a shortest flight path,and the problem is optimized by the ant colony algorithm.MATLAB simulation and calculation are used to obtain the shortest flight path network of the drone in a specific area of Chengdu.Simulation results verify the correctness of the method and provide a reference for the optimal trajectory of UAV urban transportation planning.