UAV Path Planning Based on Improved GWO Algorithm

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

Abstract

An improved algorithm based on the Grey Wolf optimizer (GWO) is addressed to generate the optimal path. Firstly, to use the optimization method to solve the path planning problem of UAV, the unconstrained path planning problem, and the constraints such as the no-fly area are abstracted as objective function and constraint function, respectively. Secondly, a penalty-based technique is applied to modify the extended cost function and the improved GWO is proposed to solve it. Finally, the result of digital simulation shows that the algorithm has good performance in the processing ability of constraint problems, convergence, and the robustness of globally optimal solutions.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
EditorsLiang Yan, Haibin Duan, Yimin Deng, Liang Yan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages20-26
Number of pages7
ISBN (Print)9789811966125
DOIs
StatePublished - 2023
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China
Duration: 5 Aug 20227 Aug 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume845 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2022
Country/TerritoryChina
CityHarbin
Period5/08/227/08/22

Keywords

  • Constraint optimization problem
  • GWO
  • Path planning
  • UAV

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