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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852877