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.
出处
《现代计算机》
2011年第20期8-11,15,共5页
Modern Computer
关键词
无人机
航迹规划
粒子群优化
Unmanned Aerial Vehicles
Route Planning
Particle Swarm Optimization
