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Algoritmos Evolutivos y su empleo en el ajuste de controladores del tipo PID: Estado Actual y Perspectivas

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Algoritmos Evolutivos y su empleo en el ajuste de controladores del tipo PID: Estado Actual y Perspectivas

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dc.contributor.author Reynoso Meza, Gilberto es_ES
dc.contributor.author Sanchís Saez, Javier es_ES
dc.contributor.author Blasco Ferragud, Francesc Xavier es_ES
dc.contributor.author Martínez Iranzo, Miguel Andrés es_ES
dc.date.accessioned 2020-05-21T09:19:15Z
dc.date.available 2020-05-21T09:19:15Z
dc.date.issued 2013-07-09
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/143934
dc.description.abstract [ES] Los controladores PID continúan siendo una solución fiable, robusta, práctica y sencilla para el control de procesos. Actualmente constituyen la primera capa de control de la gran mayoría de las aplicaciones industriales. De ahí que un número importante de trabajos de investigación se han orientado a mejorar su rendimiento y prestaciones. Las líneas de investigación en este campo van desde nuevos métodos de ajuste, pasando por nuevos tipos de estructura hasta metodologías de diseño integrales. Particularizando en el ajuste de parámetros, una de las formas de obtener una solución novedosa consiste en plantear un problema de optimización, el cual puede llegar a ser no-lineal, no-convexo y con restricciones. Dado que los algoritmos evolutivos han mostrado un buen desempeño para solucionar problemas complejos de optimización, han sido utilizados en diversas propuestas relacionadas con el ajuste de controladores PID. Este trabajo muestra un revisión de estas propuestas y las prestaciones obtenidas en cada caso. Así mismo, se identifican algunas tendencias y posibles líneas de trabajo futuras. es_ES
dc.description.abstract [EN] PID controllers are a reliable, robust, practical and easy to implement control solution for industrial processes. They provide the first control layer for a vast majority of industrial applications. Owing to this, several researches invest time and resources to improve their performance. The research lines in this field scope with new tuning methods, new types of structures and integral design methods. For tuning methods, improvements could be fulfilled stating an optimization problem, which could be non-linear, non-convex and highly constrained. In such instances, evolutionary algorithms have shown a good performance and have been used in various proposals related with PID controllers tuning. This work shows a review of these proposals and the benefits obtained in each case. Some trends and possible future research lines are also identified. es_ES
dc.description.sponsorship Este trabajo ha sido realizado parcialmente gracias al apoyo del Ministerio de Economía y Competitividad (Gobierno de España) mediante los proyectos TIN2011 - 28082, ENE2011- 25900; la Generalitat Valenciana mediante la iniciativa GV/2012/ 073 y la Universitat Politècnica de València a travès de la beca FPI-2010/19 y la iniciativa de investigacion PAID-06-11.
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Controlador PID es_ES
dc.subject PID convencional es_ES
dc.subject PID borroso es_ES
dc.subject PID fraccionario es_ES
dc.subject Algoritmos Evolutivos es_ES
dc.subject Optimización es_ES
dc.subject PID controller es_ES
dc.subject Conventional PID es_ES
dc.subject Fuzzy PID es_ES
dc.subject Fractional order PID es_ES
dc.subject Evolutionary algorithms es_ES
dc.subject Optimization es_ES
dc.title Algoritmos Evolutivos y su empleo en el ajuste de controladores del tipo PID: Estado Actual y Perspectivas es_ES
dc.title.alternative Evolutionary Algorithms for PID controller tuning: Current Trends and Perspectives es_ES
dc.type Artículo es_ES
dc.type Otros es_ES
dc.identifier.doi 10.1016/j.riai.2013.04.001
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2011-28082/ES/DISEÑO E IMPLEMENTACION DE PILOTOS AUTOMATICOS PARA VEHICULOS AEREOS NO TRIPULADOS (UAVS) MEDIANTE TECNICAS DE OPTIMIZACION Y CONTROL AVANZADO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//ENE2011-25900/ES/GESTION OPTIMA MEDIANTE CONTROLADORES AVANZADOS DE PILAS DE COMBUSTIBLE TIPO PEM PARA APLICACIONES MOVILES Y ESTATICAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2012%2F073/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//FPI%2F2010%2F19/
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-11/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Reynoso Meza, G.; Sanchís Saez, J.; Blasco Ferragud, FX.; Martínez Iranzo, MA. (2013). Algoritmos Evolutivos y su empleo en el ajuste de controladores del tipo PID: Estado Actual y Perspectivas. Revista Iberoamericana de Automática e Informática industrial. 10(3):251-268. https://doi.org/10.1016/j.riai.2013.04.001 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.riai.2013.04.001 es_ES
dc.description.upvformatpinicio 251 es_ES
dc.description.upvformatpfin 268 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\9510 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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