电光与控制, 2012, 19 (12): 29, 网络出版: 2012-12-24
采用改进粒子群算法的无人机协同航迹规划
Cooperative Path Planning for UCAVs Based on Improved PSO Algorithm
无人机 航迹规划 协同变量 空间直接法 粒子群算法 Unmanned Combat Aerial Vehicles (UCAV) path planning coordination variable space direct Particles Swarm Optimization (PSO)
摘要
为合理解决多无人机协同航迹规划问题,提出了两种解决方法。针对提出的空间直接法,将多无人机三维协同航迹规划问题简化为具有时间约束的二维航迹规划,并对传统协同变量和协同函数进行新的构建,最后结合一种改进的粒子群算法作了进一步的仿真实验,并取得了比较理想的结果。
Abstract
Two methods were proposed for solving the problem of cooperative path planning for multiple Unmanned Combat Aerial Vehicles (UCAV).Based on space direct method the problem of 3D cooperative path planning was change into 2D path planning at different height layers.Then new coordination variables and coordination functions were established which were different from the old ones.Finally an improved Particle Swarm Optimization (PSO) algorithm was used for simulation and an ideal result was obtained.
朱收涛, 曹林平, 翁兴伟, 董康生, 封普文. 采用改进粒子群算法的无人机协同航迹规划[J]. 电光与控制, 2012, 19(12): 29. ZHU Shoutao, CAO Linping, WENG Xingwei, DONG Kangsheng, FENG Puwen. Cooperative Path Planning for UCAVs Based on Improved PSO Algorithm[J]. Electronics Optics & Control, 2012, 19(12): 29.