TY - GEN
T1 - A kind of route planning method for UAV based on improved PSO algorithm
AU - Geng, Qingbo
AU - Zhao, Zheng
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Improved hybrid particle swarm
KW - UAV
KW - path planning
UR - http://www.scopus.com/inward/record.url?scp=84882786350&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2013.6561326
DO - 10.1109/CCDC.2013.6561326
M3 - Conference contribution
AN - SCOPUS:84882786350
SN - 9781467355322
T3 - 2013 25th Chinese Control and Decision Conference, CCDC 2013
SP - 2328
EP - 2331
BT - 2013 25th Chinese Control and Decision Conference, CCDC 2013
T2 - 2013 25th Chinese Control and Decision Conference, CCDC 2013
Y2 - 25 May 2013 through 27 May 2013
ER -