Particle Swarm Optimization Algorithm Presented in SysML and Applied in Multi-UAV System

Maher Aljehani, Masahiro Inoue, Taketoshi Yokemura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The use of unmanned aerial vehicles (UAVs) is expanding fast in both military and civilian roles. In this paper, authors propose a Particle Swarm Optimization (PSO) algorithm to evaluate Multi-UAV on different airframes. SysML activity diagram was used to depict the sequence process of the PSO algorithm. Moreover, the UAV airframes are presented and discussed, then an evaluation of the performance of the selected airframes is simulated.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Consumer Electronics, ICCE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728197661
DOIs
Publication statusPublished - 2021 Jan 10
Event2021 IEEE International Conference on Consumer Electronics, ICCE 2021 - Las Vegas, United States
Duration: 2021 Jan 102021 Jan 12

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2021-January
ISSN (Print)0747-668X

Conference

Conference2021 IEEE International Conference on Consumer Electronics, ICCE 2021
Country/TerritoryUnited States
CityLas Vegas
Period21/1/1021/1/12

Keywords

  • PSO algorithm
  • SysML
  • UAV
  • analysis
  • simulation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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