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基于粒子群优化算法的无人机航迹规划
引用本文:陈小双,翟为刚,赵万里.基于粒子群优化算法的无人机航迹规划[J].电脑与微电子技术,2011(20):8-11,15.
作者姓名:陈小双  翟为刚  赵万里
作者单位:第二炮兵工程学院.西安710025
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。

关 键 词:无人机  航迹规划  粒子群优化

Route Planning for Unmanned Aerial Vehicles Based on the Particle Swarm Optimization
Authors:CHEN Xiao-shuang  ZHAI Wei-gang  ZHAO Wan-li
Affiliation:(The Second Artillery Engineering College, Xi'an 710025)
Abstract: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.
Keywords:Unmanned Aerial Vehicles  Route Planning  Particle Swarm Optimization
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