MPC and SADE for UAV real-time path planning in 3D environment

Qiang Wang, An Zhang, Hai Yang Sun

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

8 Scopus citations

Abstract

This paper proposed a method of real-time path planning for UAV based on model predictive control and self adaptive differential evolutionary algorithm First the model of three-dimensional path planning of UAV was built by model predictive control Then the encoding method based on deflection angle was given. The constraints were combined with the self adaptive differential evolutionary algorithm to make the path more rational and the searching more efficiently. The simulation analyses showed that the method of path planning is available and efficient, that could satisfy the requirements of terrain following and threat avoidance.

Original languageEnglish
Title of host publicationProceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages130-133
Number of pages4
ISBN (Electronic)9781479953530
DOIs
StatePublished - 11 Dec 2014
Event2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014 - Wuhan, Hubei, China
Duration: 18 Oct 201419 Oct 2014

Publication series

NameProceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014

Conference

Conference2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
Country/TerritoryChina
CityWuhan, Hubei
Period18/10/1419/10/14

Keywords

  • Model predictive control
  • Real-time path planning
  • Self adaptive differential evolutionary algorithm
  • UAV

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