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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Main Authors: Gualdrón-Guerrero, Oscar Eduardo, Beleño-Sáenz, Kelvin de Jesús, López, Danilo Alfonso
Format: Online
Language:spa
Published: Universidad Pedagógica y Tecnológica de Colombia 2015
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834
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author Gualdrón-Guerrero, Oscar Eduardo
Beleño-Sáenz, Kelvin de Jesús
López, Danilo Alfonso
author_facet Gualdrón-Guerrero, Oscar Eduardo
Beleño-Sáenz, Kelvin de Jesús
López, Danilo Alfonso
author_sort Gualdrón-Guerrero, Oscar Eduardo
collection OJS
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.
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spelling oai:oai.revistas.uptc.edu.co:article-48342021-08-03T14:49:30Z Development 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) Gualdrón-Guerrero, Oscar Eduardo Beleño-Sáenz, Kelvin de Jesús López, Danilo Alfonso artificial intelligence inverted pendulum intelligent control system identification Fuzzy tuning Inteligencia artificial Péndulo invertido Control inteligente Identificación de sistemas Sintonización difusa 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. 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. Universidad Pedagógica y Tecnológica de Colombia 2015-09-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion investigation investigación application/pdf text/html https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834 10.19053/01211129.4834 Revista Facultad de Ingeniería; Vol. 24 No. 40 (2015); 95-105 Revista Facultad de Ingeniería; Vol. 24 Núm. 40 (2015); 95-105 2357-5328 0121-1129 spa https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834/3883 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834/4339 Copyright (c) 2015 Oscar Eduardo Gualdrón-Guerrero, Kelvin de Jesús Beleño-Sáenz, Danilo Alfonso López http://creativecommons.org/licenses/by/4.0
spellingShingle artificial intelligence
inverted pendulum
intelligent control
system identification
Fuzzy tuning
Inteligencia artificial
Péndulo invertido
Control inteligente
Identificación de sistemas
Sintonización difusa
Gualdrón-Guerrero, Oscar Eduardo
Beleño-Sáenz, Kelvin de Jesús
López, Danilo Alfonso
Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
title Development of a PID Controller by Tuning Fuzzy Applied to a Rotational System (Inverted Pendulum)
title_alt Desarrollo de un controlador PID por sintonización difusa aplicado a un sistema rotacional (péndulo invertido)
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_short 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
topic artificial intelligence
inverted pendulum
intelligent control
system identification
Fuzzy tuning
Inteligencia artificial
Péndulo invertido
Control inteligente
Identificación de sistemas
Sintonización difusa
topic_facet artificial intelligence
inverted pendulum
intelligent control
system identification
Fuzzy tuning
Inteligencia artificial
Péndulo invertido
Control inteligente
Identificación de sistemas
Sintonización difusa
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/4834
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