Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm

In this paper, a simultaneous calibration algorithm of the parameters of the attitude and altitude control for an unmanned aerial vehicle (UAV) is proposed. The algorithm is based on the multi-objective particle swarm optimization (MOPSO) technique.

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Автор: Gomez, Nicolas (author)
Інші автори: Gómez López, Víctor Adolfo (author), Paiva, Enrique (author), Rodas Benítez, Jorge Esteban (author), Gregor Recalde, Raúl Igmar (author)
Формат: article
Мова:Англійська
Опубліковано: 2018
Предмети:
Онлайн доступ:http://hdl.handle.net/20.500.14066/3638
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author Gomez, Nicolas
author2 Gómez López, Víctor Adolfo
Paiva, Enrique
Rodas Benítez, Jorge Esteban
Gregor Recalde, Raúl Igmar
author2_role author
author
author
author
author_browse Gomez, Nicolas
Gregor Recalde, Raúl Igmar
Gómez López, Víctor Adolfo
Paiva, Enrique
Rodas Benítez, Jorge Esteban
author_facet Gomez, Nicolas
Gómez López, Víctor Adolfo
Paiva, Enrique
Rodas Benítez, Jorge Esteban
Gregor Recalde, Raúl Igmar
author_role author
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bitstream.url.fl_str_mv http://repositorio.conacyt.gov.py/bitstream/20.500.14066/3638/1/PINV15-136art1.pdf
http://repositorio.conacyt.gov.py/bitstream/20.500.14066/3638/2/license.txt
http://repositorio.conacyt.gov.py/bitstream/20.500.14066/3638/3/PINV15-136art1.pdf.txt
dc.contributor.other.es.fl_str_mv Universidad Nacional de Asunción - Facultad de Ingeniería
dc.creator.none.fl_str_mv Gomez, Nicolas
Gómez López, Víctor Adolfo
Paiva, Enrique
Rodas Benítez, Jorge Esteban
Gregor Recalde, Raúl Igmar
dc.date.accessioned.none.fl_str_mv 2022-04-25T22:36:11Z
dc.date.available.none.fl_str_mv 2022-04-25T22:36:11Z
dc.date.issued.none.fl_str_mv 2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.14066/3638
dc.language.iso.es.fl_str_mv eng
dc.relation.projectCONACYT.es.fl_str_mv PINV15-136
dc.rights.accessRights.es.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.classification.es.fl_str_mv 4. Transporte, telecomunicaciones y otras infraestructuras
dc.subject.ocde.es.fl_str_mv INGENIERIA
dc.subject.other.es.fl_str_mv UNMANNED AERIAL VEHICLE (UAV)
FLIGHT CONTROLLER OPTIMIZATION
PROPORTIONAL-INTEGRAL-DERIVATIVE (PID)
dc.title.es.fl_str_mv Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
dc.type.es.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description In this paper, a simultaneous calibration algorithm of the parameters of the attitude and altitude control for an unmanned aerial vehicle (UAV) is proposed. The algorithm is based on the multi-objective particle swarm optimization (MOPSO) technique.
eu_rights_str_mv openAccess
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network_acronym_str CONACYT
network_name_str Repositorio Institucional CONACYT
oai_identifier_str oai:repositorio.conacyt.gov.py:20.500.14066/3638
publishDate 2018
publishDateSort 2018
repository.mail.fl_str_mv repositorio.institucional@conacyt.gov.py
repository.name.fl_str_mv Repositorio Institucional CONACYT
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spellingShingle Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
Gomez, Nicolas
4. Transporte, telecomunicaciones y otras infraestructuras
UNMANNED AERIAL VEHICLE (UAV)
FLIGHT CONTROLLER OPTIMIZATION
PROPORTIONAL-INTEGRAL-DERIVATIVE (PID)
INGENIERIA
status_str publishedVersion
title Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
title_full Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
title_fullStr Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
title_full_unstemmed Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
title_short Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
title_sort Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
topic 4. Transporte, telecomunicaciones y otras infraestructuras
UNMANNED AERIAL VEHICLE (UAV)
FLIGHT CONTROLLER OPTIMIZATION
PROPORTIONAL-INTEGRAL-DERIVATIVE (PID)
INGENIERIA
url http://hdl.handle.net/20.500.14066/3638