Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47342
DC FieldValueLanguage
dc.contributor.authorBetancor-Martin, Carlos S.en_US
dc.contributor.authorSosa González, Carlos Javieren_US
dc.contributor.authorMontiel-Nelson, Juan A.en_US
dc.contributor.authorVega-Martinez, Aurelioen_US
dc.date.accessioned2018-11-23T12:47:14Z-
dc.date.available2018-11-23T12:47:14Z-
dc.date.issued2014en_US
dc.identifier.issn0264-4401en_US
dc.identifier.urihttp://hdl.handle.net/10553/47342-
dc.description.abstractPurpose - Nowadays, in order to improve current applications, industry incorporates to their solution approaches artificial intelligence techniques and methodologies like Fuzzy Logic, neural networks and/or genetic algorithms (GA). Artificial intelligence techniques complement classical methodologies and include concepts that simulate the way humans solve problems or how processes work in nature. In this work, the Fuzzy Logic system cancels the effects of load perturbances in an energy plant, by implementing a secondary controller which complements the main controller. The purpose of this paper is to use GA to tune this new secondary controller. The authors particularize the proposal for three specific applications: control the angular speed and position of a Direct Current (DC) motor and control the output voltage of a DC/DC buck converter.Design/methodology/approach - The authors use GA for tuning a Proportional-Integral Fuzzy Controller (PI-Fuzzy). The proposal defines a new objective function in comparison with literature approaches. The main key in the new objective function is combining the best features of Integral Square Error (ISE) function and taking out the overshoot response.Findings - In order to demonstrate the proposed methodology based on GA tuning a PI-Fuzzy, the authors apply the literature benchmark to the solution. The results are compared with the following techniques: Robust control, continuous PID control, discrete PID control, Optimal Control, Fuzzy Control and Artificial Neural Network based control. Comparisons are presented in terms of setting time and overshot.Originality/value - Results demonstrate that ISE or integral of absolute value of error function do not provide the desired response. Achieved results demonstrate the usefulness of the proposal to eliminate the overshoot of the traditional behaviour without lost any of the main features of the literature methodologies.en_US
dc.languageengen_US
dc.publisher0264-4401-
dc.relation.ispartofEngineering Computationsen_US
dc.sourceEngineering Computations (Swansea, Wales)[ISSN 0264-4401],v. 31, p. 1074-1097en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherRobust controlen_US
dc.subject.otherGenetic algorithmsen_US
dc.subject.otherOptical controlen_US
dc.subject.otherPID controlen_US
dc.subject.otherArtificial neural networken_US
dc.subject.otherBuck converteren_US
dc.subject.otherDC motoren_US
dc.subject.otherFuzzy logic systemen_US
dc.titleGains tuning of a PI-Fuzzy controller by genetic algorithmsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/EC-03-2012-0068en_US
dc.identifier.scopus84908490234-
dc.identifier.isi000341732900003-
dc.contributor.authorscopusid56401921500-
dc.contributor.authorscopusid7006310063-
dc.contributor.authorscopusid6603626866-
dc.contributor.authorscopusid56401859100-
dc.description.lastpage1097en_US
dc.description.firstpage1074en_US
dc.relation.volume31en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid13139810-
dc.contributor.daisngid1739656-
dc.contributor.daisngid480589-
dc.contributor.daisngid12549778-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Betancor-Martin, CS-
dc.contributor.wosstandardWOS:Sosa, J-
dc.contributor.wosstandardWOS:Montiel-Nelson, JA-
dc.contributor.wosstandardWOS:Vega-Martinez, A-
dc.date.coverdateEnero 2014en_US
dc.identifier.ulpgces
dc.description.sjr0,553
dc.description.jcr1,495
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptIUMA Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptIngeniería Electrónica y Automática-
crisitem.author.deptIUMA Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptIngeniería Electrónica y Automática-
crisitem.author.deptIUMA Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptIngeniería Electrónica y Automática-
crisitem.author.deptIUMA Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptIngeniería Electrónica y Automática-
crisitem.author.orcid0000-0002-4349-4296-
crisitem.author.orcid0000-0003-1838-3073-
crisitem.author.orcid0000-0003-4323-8097-
crisitem.author.orcid0000-0002-4154-8799-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.fullNameBetancor Martín, Carlos Salvador-
crisitem.author.fullNameSosa González, Carlos Javier-
crisitem.author.fullNameMontiel Nelson, Juan Antonio-
crisitem.author.fullNameVega Martínez, Aurelio-
Appears in Collections:Artículos
Show simple item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.