摘要
提出一种基于粒子群优化算法的无人机路径规划方法,利用粒子群优化算法,将约束条件和搜索算法相结合,从而有效减小搜索空间,得到一条全局最优路径。仿真结果表明:该方法能够快速有效地完成规划任务,获得满意的三维航迹。
A route planning for unmanned aerial vehicles based on particle swarm optimization （PSO） is presented. Incorporating constrains into the algorithm, a desirable vehicle route can be generate and the efficiency can be greatly improved. The PSO is introduced to get a global optimized route. The experiment results demonstrated that this method can complete planning mission efficiently and get a desirable route.
出处
《弹箭与制导学报》
CSCD
北大核心
2007年第4期340-342,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
无人机
航迹规划
粒子群优化
unmanned aerial vehicles
route planning
particle swarm optimization
