DocumentCode
176793
Title
Three-dimensional path planning for UAV based on improved PSO algorithm
Author
Qiang Wang ; An Zhang ; Linghui Qi
Author_Institution
Sch. of Electron. Inf., Northwestern Polytech. Univ., Xi´an, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
3981
Lastpage
3985
Abstract
This paper proposed a method of path planning in three-dimensional space based on concentric spherical coordinate and improved particle swarm optimization algorithm. First the model of three-dimensional path planning of UAV was analyzed. Then the encoding method based on concentric spherical coordinate system was given. The constraints were combined with the improved particle swarm optimization algorithm to make the path more rational and the searching more efficiently. At the same time using Matlab7.0 as the development tool for simulation, the simulation analyses showed that the method of path planning in this paper is applicable and acceptable, which could achieve the goal of terrain following and threat avoidance (TF/TA2).
Keywords
autonomous aerial vehicles; particle swarm optimisation; path planning; Matlab7.0; UAV; concentric spherical coordinate system; encoding method; improved PSO algorithm; improved particle swarm optimization algorithm; simulation analyses; terrain following; threat avoidance; three-dimensional path planning; three-dimensional space; Encoding; Particle swarm optimization; Path planning; Planning; Radar tracking; Three-dimensional displays; UAV; improved particle swarm optimization; path planning; spherical coordinate;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852877
Filename
6852877
Link To Document