Three-dimensional path planning for UAV based on improved PSO algorithm

Qiang Wang, An Zhang, Linghui Qi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Scopus citations

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).

Original languageEnglish
Title of host publication26th Chinese Control and Decision Conference, CCDC 2014
PublisherIEEE Computer Society
Pages3981-3985
Number of pages5
ISBN (Print)9781479937066
DOIs
StatePublished - 2014
Event26th Chinese Control and Decision Conference, CCDC 2014 - Changsha, China
Duration: 31 May 20142 Jun 2014

Publication series

Name26th Chinese Control and Decision Conference, CCDC 2014

Conference

Conference26th Chinese Control and Decision Conference, CCDC 2014
Country/TerritoryChina
CityChangsha
Period31/05/142/06/14

Keywords

  • improved particle swarm optimization
  • path planning
  • spherical coordinate
  • UAV

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