Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)

The inverted pendulum system has arised a great interest in the control and academia areas, this system modeling presents many difficulties associated with the control problems in the real world. This paper presents a different way to develop a control strategy for the system in question, based on t...

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Tipo de recurso:
Fecha de publicación:
2015
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14149
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834
https://repositorio.uptc.edu.co/handle/001/14149
Palabra clave:
artificial intelligence
inverted pendulum
intelligent control
system identification
Fuzzy tuning
Inteligencia artificial
Péndulo invertido
Control inteligente
Identificación de sistemas
Sintonización difusa
Rights
License
http://creativecommons.org/licenses/by/4.0
id REPOUPTC2_85407504e2c7b50710804b7acedb0b8b
oai_identifier_str oai:repositorio.uptc.edu.co:001/14149
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network_name_str RiUPTC: Repositorio Institucional UPTC
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spelling 2015-09-012024-07-05T19:11:29Z2024-07-05T19:11:29Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/483410.19053/01211129.4834https://repositorio.uptc.edu.co/handle/001/14149The inverted pendulum system has arised a great interest in the control and academia areas, this system modeling presents many difficulties associated with the control problems in the real world. This paper presents a different way to develop a control strategy for the system in question, based on the design and implementation of the rotational pendulum system, then employing the same modeling strategies by using the system identification methods, based on the artificial intelligence neural networks (N-FIR), to finally taking the tuning fuzzy control step, for the different physical conditions caused on the pendulum (change in length and/or mass), which are validated, with good results on the real system developed.El péndulo invertido ha sido un sistema de gran interés en el área del control y la academia, el modelado de este sistema presenta muchas dificultades asociadas a problemas de control en el mundo real. En este trabajo se expone una manera diferente de desarrollar una estrategia de control del sistema en mención, partiendo del diseño e implementación del sistema péndulo rotacional, pasando por su modelado utilizando estrategias de identificación de sistemas basados en métodos de inteligencia artificial, específicamente redes neuronales (N-FIR), y, finalmente, realizando la etapa de control por sintonización difusa a diferentes condiciones físicas provocadas en el péndulo (cambio de longitud y/o masa), siendo validados sobre el sistema real desarrollado, con buenos resultados.application/pdftext/htmlspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834/3883https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834/4339Copyright (c) 2015 Oscar Eduardo Gualdrón-Guerrero, Kelvin de Jesús Beleño-Sáenz, Danilo Alfonso Lópezhttp://creativecommons.org/licenses/by/4.0http://purl.org/coar/access_right/c_abf370http://purl.org/coar/access_right/c_abf2Revista Facultad de Ingeniería; Vol. 24 No. 40 (2015); 95-105Revista Facultad de Ingeniería; Vol. 24 Núm. 40 (2015); 95-1052357-53280121-1129artificial intelligenceinverted pendulumintelligent controlsystem identificationFuzzy tuningInteligencia artificialPéndulo invertidoControl inteligenteIdentificación de sistemasSintonización difusaDevelopment of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)Desarrollo de un controlador PID por sintonización difusa aplicado a un sistema rotacional (péndulo invertido)investigationinvestigacióninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a453http://purl.org/coar/version/c_970fb48d4fbd8a85Gualdrón-Guerrero, Oscar EduardoBeleño-Sáenz, Kelvin de JesúsLópez, Danilo Alfonso001/14149oai:repositorio.uptc.edu.co:001/141492025-07-18 11:53:51.358metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
dc.title.es-ES.fl_str_mv Desarrollo de un controlador PID por sintonización difusa aplicado a un sistema rotacional (péndulo invertido)
title Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
spellingShingle Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
artificial intelligence
inverted pendulum
intelligent control
system identification
Fuzzy tuning
Inteligencia artificial
Péndulo invertido
Control inteligente
Identificación de sistemas
Sintonización difusa
title_short Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
title_full Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
title_fullStr Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
title_full_unstemmed Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
title_sort Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
dc.subject.en-US.fl_str_mv artificial intelligence
inverted pendulum
intelligent control
system identification
Fuzzy tuning
topic artificial intelligence
inverted pendulum
intelligent control
system identification
Fuzzy tuning
Inteligencia artificial
Péndulo invertido
Control inteligente
Identificación de sistemas
Sintonización difusa
dc.subject.es-ES.fl_str_mv Inteligencia artificial
Péndulo invertido
Control inteligente
Identificación de sistemas
Sintonización difusa
description The inverted pendulum system has arised a great interest in the control and academia areas, this system modeling presents many difficulties associated with the control problems in the real world. This paper presents a different way to develop a control strategy for the system in question, based on the design and implementation of the rotational pendulum system, then employing the same modeling strategies by using the system identification methods, based on the artificial intelligence neural networks (N-FIR), to finally taking the tuning fuzzy control step, for the different physical conditions caused on the pendulum (change in length and/or mass), which are validated, with good results on the real system developed.
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2024-07-05T19:11:29Z
dc.date.available.none.fl_str_mv 2024-07-05T19:11:29Z
dc.date.none.fl_str_mv 2015-09-01
dc.type.en-US.fl_str_mv investigation
dc.type.es-ES.fl_str_mv investigación
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a453
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834
10.19053/01211129.4834
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/14149
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834
https://repositorio.uptc.edu.co/handle/001/14149
identifier_str_mv 10.19053/01211129.4834
dc.language.none.fl_str_mv spa
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834/3883
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834/4339
dc.rights.en-US.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf370
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
http://purl.org/coar/access_right/c_abf370
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista Facultad de Ingeniería; Vol. 24 No. 40 (2015); 95-105
dc.source.es-ES.fl_str_mv Revista Facultad de Ingeniería; Vol. 24 Núm. 40 (2015); 95-105
dc.source.none.fl_str_mv 2357-5328
0121-1129
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
_version_ 1839633884605579264

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