PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application

Autores
Baldini, Patricia Noemí; Calandrini, Guillermo; Doñate, Pedro
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper formulates a robust control for variable time-delay system models. An automatic tuning method for PID-type controller is proposed. The adopted method integrates robust control design using Quantitative Feedback Theory (QFT) with Particle Swan Optimization heuristic algorithms (PSO) to systematize the loop-shaping stage. The objective of the design method is to reach a good compromise among robust stability, robust tracking and disturbance rejection with minimal control effort. The resulting algorithm has attractive features, such as easy implementation, stable convergence characteristic and good computational efficiency. In particular, the results of the control design for active queue management (AQM) systems are presented. Simulations show improved congestion control and quality of service in TCP communication networks.
Facultad de Informática
Materia
Ciencias Informáticas
Heuristic methods
Optimization
PSO
frequency response
PID
robust control
QFT
AQM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/50182
Acceder
id SEDICI_c4fbac63aeba9bb400f885123365c9d7
oai_identifier_str oai:sedici.unlp.edu.ar:10915/50182
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM applicationBaldini, Patricia NoemíCalandrini, GuillermoDoñate, PedroCiencias InformáticasHeuristic methodsOptimizationPSOfrequency responsePIDrobust controlQFTAQMThis paper formulates a robust control for variable time-delay system models. An automatic tuning method for PID-type controller is proposed. The adopted method integrates robust control design using Quantitative Feedback Theory (QFT) with Particle Swan Optimization heuristic algorithms (PSO) to systematize the loop-shaping stage. The objective of the design method is to reach a good compromise among robust stability, robust tracking and disturbance rejection with minimal control effort. The resulting algorithm has attractive features, such as easy implementation, stable convergence characteristic and good computational efficiency. In particular, the results of the control design for active queue management (AQM) systems are presented. Simulations show improved congestion control and quality of service in TCP communication networks.Facultad de Informática2015-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf100-106http://sedici.unlp.edu.ar/handle/10915/50182enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-9.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-05T12:43:48Zoai:sedici.unlp.edu.ar:10915/50182Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-05 12:43:48.491SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
title PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
spellingShingle PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
Baldini, Patricia Noemí
Ciencias Informáticas
Heuristic methods
Optimization
PSO
frequency response
PID
robust control
QFT
AQM
title_short PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
title_full PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
title_fullStr PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
title_full_unstemmed PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
title_sort PSO algorithm-based robust design of PID controller for variable time-delay systems: AQM application
dc.creator.none.fl_str_mv Baldini, Patricia Noemí
Calandrini, Guillermo
Doñate, Pedro
author Baldini, Patricia Noemí
author_facet Baldini, Patricia Noemí
Calandrini, Guillermo
Doñate, Pedro
author_role author
author2 Calandrini, Guillermo
Doñate, Pedro
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Heuristic methods
Optimization
PSO
frequency response
PID
robust control
QFT
AQM
topic Ciencias Informáticas
Heuristic methods
Optimization
PSO
frequency response
PID
robust control
QFT
AQM
dc.description.none.fl_txt_mv This paper formulates a robust control for variable time-delay system models. An automatic tuning method for PID-type controller is proposed. The adopted method integrates robust control design using Quantitative Feedback Theory (QFT) with Particle Swan Optimization heuristic algorithms (PSO) to systematize the loop-shaping stage. The objective of the design method is to reach a good compromise among robust stability, robust tracking and disturbance rejection with minimal control effort. The resulting algorithm has attractive features, such as easy implementation, stable convergence characteristic and good computational efficiency. In particular, the results of the control design for active queue management (AQM) systems are presented. Simulations show improved congestion control and quality of service in TCP communication networks.
Facultad de Informática
description This paper formulates a robust control for variable time-delay system models. An automatic tuning method for PID-type controller is proposed. The adopted method integrates robust control design using Quantitative Feedback Theory (QFT) with Particle Swan Optimization heuristic algorithms (PSO) to systematize the loop-shaping stage. The objective of the design method is to reach a good compromise among robust stability, robust tracking and disturbance rejection with minimal control effort. The resulting algorithm has attractive features, such as easy implementation, stable convergence characteristic and good computational efficiency. In particular, the results of the control design for active queue management (AQM) systems are presented. Simulations show improved congestion control and quality of service in TCP communication networks.
publishDate 2015
dc.date.none.fl_str_mv 2015-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/50182
url http://sedici.unlp.edu.ar/handle/10915/50182
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-9.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.format.none.fl_str_mv application/pdf
100-106
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.082534

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