Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control

Unmanned aerial vehicles are currently used for civil and military purposes. Today, quadrotor vehicles are highly important example of non-conventional underactuated rotary-wing platforms. In addition, quadrotors include complex nonlinearities compared to conventional aerial vehicles due to internal...

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Main Authors: M. Buğrahan ARTUÇ, İsmail BAYEZİT
Format: Article
Language:English
Published: Turkish Air Force Academy 2021-07-01
Series:Havacılık ve Uzay Teknolojileri Dergisi
Subjects:
Online Access:http://jast.hho.edu.tr/index.php/JAST/article/view/471
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author M. Buğrahan ARTUÇ
İsmail BAYEZİT
author_facet M. Buğrahan ARTUÇ
İsmail BAYEZİT
author_sort M. Buğrahan ARTUÇ
collection DOAJ
description Unmanned aerial vehicles are currently used for civil and military purposes. Today, quadrotor vehicles are highly important example of non-conventional underactuated rotary-wing platforms. In addition, quadrotors include complex nonlinearities compared to conventional aerial vehicles due to internal instability. Therefore, Chaotic Particle Swarm Optimisation Algorithm is employed to overcome and regulate this issue. In this study, a nonlinear system model of the IRIS+ quadrotor is used and the classical PID control is designed using CPSO algorithm. Chaotic Particle Swarm Algorithm is used to emerge a stable reference model for robust adaptive control of the experimental testbed.
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spelling doaj.art-b4f7aca6db3e4c7c96a7de5fd1facaa32023-02-15T16:20:24ZengTurkish Air Force AcademyHavacılık ve Uzay Teknolojileri Dergisi1304-04481304-04482021-07-01142261267Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor ControlM. Buğrahan ARTUÇ0https://orcid.org/0000-0002-6787-9916İsmail BAYEZİT1https://orcid.org/0000-0001-9345-5108Istanbul Technical UniversityIstanbul Technical UniversityUnmanned aerial vehicles are currently used for civil and military purposes. Today, quadrotor vehicles are highly important example of non-conventional underactuated rotary-wing platforms. In addition, quadrotors include complex nonlinearities compared to conventional aerial vehicles due to internal instability. Therefore, Chaotic Particle Swarm Optimisation Algorithm is employed to overcome and regulate this issue. In this study, a nonlinear system model of the IRIS+ quadrotor is used and the classical PID control is designed using CPSO algorithm. Chaotic Particle Swarm Algorithm is used to emerge a stable reference model for robust adaptive control of the experimental testbed.http://jast.hho.edu.tr/index.php/JAST/article/view/471iris quadrotorchaotic psopid controltrajectory trackingswarm intelligence
spellingShingle M. Buğrahan ARTUÇ
İsmail BAYEZİT
Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control
Havacılık ve Uzay Teknolojileri Dergisi
iris quadrotor
chaotic pso
pid control
trajectory tracking
swarm intelligence
title Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control
title_full Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control
title_fullStr Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control
title_full_unstemmed Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control
title_short Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control
title_sort chaotic particle swarm optimisation algorithm based quadrotor control
topic iris quadrotor
chaotic pso
pid control
trajectory tracking
swarm intelligence
url http://jast.hho.edu.tr/index.php/JAST/article/view/471
work_keys_str_mv AT mbugrahanartuc chaoticparticleswarmoptimisationalgorithmbasedquadrotorcontrol
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