基于粒子群优化算法的无人机航迹规划  

Route Planning for Unmanned Aerial Vehicles Based on the Particle Swarm Optimization

作　　者：陈小双[1] 翟为刚[1] 赵万里[1] 

机构地区：[1]第二炮兵工程学院,西安710025

出　　处：《现代计算机》2011年第20期8-11,15,共5页Modern Computer

摘　　要：提出一种基于粒子群优化算法的无人机航迹规划方法,利用粒子群优化算法,在等效数字地图中实现单个目标点的无人机航迹规划,并对算法性能进行仔细分析,仿真结果表明,该方法能够快速有效地完成航迹规划任务,得到满意的三维航迹。Presents a route planning for Unmanned Aerial Vehicles （UAV） based on the Particle Swarm Optimization（PSO）. Introduces the PSO to establish a single-object UAV route planning on the equivalent digital map. And analyses the PSO in details. The simulation experiment result demonstrates that this method can complete planning mission efficiently and obtain a desirable three-dimensional route.

关 键 词：无人机 航迹规划 粒子群优化 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]