Genetics algorithms as a tuning tool for PID and sliding mode controllers

In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative co...

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Main Authors: Juan Terán Picón, José Anderez, Oscar Camacho
Format: Article
Language:English
Published: Universidad del Zulia 2010-10-01
Series:Revista Técnica de la Facultad de Ingeniería
Subjects:
Online Access:https://www.produccioncientificaluz.org/index.php/tecnica/article/view/5896
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author Juan Terán Picón
José Anderez
Oscar Camacho
author_facet Juan Terán Picón
José Anderez
Oscar Camacho
author_sort Juan Terán Picón
collection DOAJ
description In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative controller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller
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spelling doaj.art-e96bfadff73b41cdb8bb8d111d0eadb72022-12-22T04:19:05ZengUniversidad del ZuliaRevista Técnica de la Facultad de Ingeniería0254-07702477-93772010-10-01283Genetics algorithms as a tuning tool for PID and sliding mode controllersJuan Terán Picón0José Anderez1Oscar Camacho2Universidad de Los Andes-VenezuelaUniversidad de Los Andes-VenezuelaUniversidad de Los Andes-Venezuela In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative controller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller https://www.produccioncientificaluz.org/index.php/tecnica/article/view/5896genetic algorithmstuning parametersPIDsliding mode control
spellingShingle Juan Terán Picón
José Anderez
Oscar Camacho
Genetics algorithms as a tuning tool for PID and sliding mode controllers
Revista Técnica de la Facultad de Ingeniería
genetic algorithms
tuning parameters
PID
sliding mode control
title Genetics algorithms as a tuning tool for PID and sliding mode controllers
title_full Genetics algorithms as a tuning tool for PID and sliding mode controllers
title_fullStr Genetics algorithms as a tuning tool for PID and sliding mode controllers
title_full_unstemmed Genetics algorithms as a tuning tool for PID and sliding mode controllers
title_short Genetics algorithms as a tuning tool for PID and sliding mode controllers
title_sort genetics algorithms as a tuning tool for pid and sliding mode controllers
topic genetic algorithms
tuning parameters
PID
sliding mode control
url https://www.produccioncientificaluz.org/index.php/tecnica/article/view/5896
work_keys_str_mv AT juanteranpicon geneticsalgorithmsasatuningtoolforpidandslidingmodecontrollers
AT joseanderez geneticsalgorithmsasatuningtoolforpidandslidingmodecontrollers
AT oscarcamacho geneticsalgorithmsasatuningtoolforpidandslidingmodecontrollers