A Kind of Route Planning Method for UAV Based on Improved PSO Algorithm
This paper studies the basic model of the UAV track planning.As basic Particle Swarm Optimization (PSO) algorithm is easy to fall into local minimum and its searching accuracy is not ideal,the author puts forward an improved hybrid particle swarm UAV route planning method with contraction factor.This method is used to change algorithm in the balance of performance by introducing contraction factor and learning factor,in order to get a better convergence speed and convergence rate.At the same time using MATLAB as the development tool for simulation,the results show that this method is simple and effective,and can meet the requirements of the UAV path planning.
UAV path planning Improved hybrid particle swarm
Qingbo Geng Zheng Zhao
School of Automation, Beijing Institute of Technology, Beijing 100081
国际会议
the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)
贵阳
英文
2328-2331
2013-05-01（万方平台首次上网日期，不代表论文的发表时间）