地震场景下无人机路径规划设计  

UAV Path Planning Problem in Earthquake Scenario

作　　者：朱明月 陈铖 吴佳骏 羊钊[1] ZHU Ming-yue;CHEN Cheng;WU Jia-jun;YANG Zhao(University of Aeronautics and Astronautics,Nanjing 211000,China)

机构地区：[1]南京航空航天大学,江苏南京211000

出　　处：《航空计算技术》2023年第4期24-27,32,共5页Aeronautical Computing Technique

基　　金：国家自然科学基金项目资助(52172328)。

摘　　要：无人机路径规划技术为无人机自主飞行和低空交通管理提供了技术支持,也是无人机可以实现抗震救灾的重要前提。面向地震场景,结合灾区环境以及相关需求,研究地震灾情的无人机救灾最优路径规划方法。搭建地震受灾环境,设计模拟真实情况的地震场景。选用蚁群算法中的三维路径规划算法,搜索从出发点到疑似点的最优路径。通过仿真验证了模型的可行性和有效性。In earthquake scenarios,drones can quickly complete several emergency tasks,with special advantages that many other means of transportation do not have.UAV path planning technology provides technical support for UAV autonomous flight and low altitude traffic management,and is also an important prerequisite for UAV to achieve earthquake relief.Facing the earthquake scene,this work studies the optimal path planning method for UAV disaster relief based on the disaster environment and related needs.First,build an earthquake stricken environment and design earthquake scenarios that simulate real situations.Secondly,the 3D path planning algorithm in the ant colony algorithm is selected to search for the optimal path from the starting point to the suspected point.Finally,the feasibility and effectiveness of the model are verified by simulation.

关 键 词：地震场景 无人机路径规划 多目标规划 多目标蚁群算法 

分 类 号：TP301.1[自动化与计算机技术—计算机系统结构]