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Influencia de los hiper-parámetros en algoritmos basados en Evolución Diferencial para el ajuste de controladores del tipo PID en procesos SISO

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Influencia de los hiper-parámetros en algoritmos basados en Evolución Diferencial para el ajuste de controladores del tipo PID en procesos SISO

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Martínez-Luzuriaga, PN.; Reynoso-Meza, G. (2022). Influencia de los hiper-parámetros en algoritmos basados en Evolución Diferencial para el ajuste de controladores del tipo PID en procesos SISO. Revista Iberoamericana de Automática e Informática industrial. 20(1):44-55. https://doi.org/10.4995/riai.2022.16517

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191369

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Título: Influencia de los hiper-parámetros en algoritmos basados en Evolución Diferencial para el ajuste de controladores del tipo PID en procesos SISO
Otro titulo: Influence of hyper-parameters in algorithms based on Differential Evolution for the adjustment of PID-type controllers in SISO processes through mono and multi-objective optimisation
Autor: Martínez-Luzuriaga, Paúl Nicolai Reynoso-Meza, Gilberto
Fecha difusión:
Resumen:
[EN] PID Controllers remain as the reliable front-line solution in feedback control loops. Even when their simplicity is one of the main reasons for this, the right tuning of their parameters is essential to guarantee their ...[+]


[ES] Los controladores PID se mantienen como una solución confiable de primera línea en sistemas de control retroalimentado. Incluso cuando su sencillez es una de las principales razones de ello, un correcto ajuste de sus ...[+]
Palabras clave: PID tuning , Evolutionary algorithms , Hyper-parameters tuning , Optimisation , Ajuste de controladores PID , Algoritmos evolutivos , Ajuste de hiper-parámetros , Optimización
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.4995/riai.2022.16517
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/riai.2022.16517
Código del Proyecto:
info:eu-repo/grantAgreement/CNPq//310079/2019-5-PQ2
info:eu-repo/grantAgreement/CNPq//4408164/2021-2-Univ
info:eu-repo/grantAgreement/CNPq//PRONEX-51432/2018-PPP
Agradecimientos:
Trabajo financiado parcialmente por el Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), y la Fundação Araucária (FAPPR) - Brasil - proyectos 310079/2019-5-PQ2, 4408164/2021-2-Univ y PRONEX-51432/2018-PPP.[+]
Tipo: Artículo

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