Control scheme selection and optimal tuning in industrial process control using factorial experiment design
datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
dc.contributor.author | Acosta-Villamil, David Roberto | |
dc.contributor.author | Noguera-Polania, José Fernando | |
dc.contributor.author | Verdeza-Villalobos, Arnaldo | |
dc.contributor.author | Foliaco-Romero, Blanca Luz | |
dc.contributor.author | Rincón-Montenegro, Adriana Fernanda | |
dc.contributor.author | Sanjuan-Mejía, Marco Enrique | |
dc.date.accessioned | 2020-11-10T22:03:11Z | |
dc.date.available | 2020-11-10T22:03:11Z | |
dc.date.issued | 2020 | |
dc.description.abstract | In this study, a novel experimental approach for the optimal selection of an actuator-based control strategy is presented. The proposed approach is a two-stage method: first, a two-level factorial experiment design with n factors (2n) was applied to compare different control schemes. Schemes comparison was carried out in terms of energy consumption and closed-loop performance. For the best relative scheme, a Central Composite Face-centered (CCF) design was completed obtaining the controller parameters that optimize the performance in terms of the Integral Absolute Error (IAE) while operating in a region of low energy consumption. The proposed approach was experimentally tested using real data obtained from a laboratory prototype plant. Some experimental tests illustrating the suitability of our method are shown at the end of this article. | eng |
dc.description.abstract | en este estudio se presenta un nuevo enfoque experimental para la selección óptima de una estrategia de control basada en el actuador. El enfoque propuesto es un método de dos etapas: primero se aplica un diseño de experimento factorial de dos niveles con n factores (2n) para comparar diferentes esquemas de control. La comparación de esquemas se lleva a cabo en términos de consumo de energía y rendimiento de circuito cerrado. Para el mejor esquema relativo, se completa un Diseño Central Compuesto Centrado en las Caras (CCF, por sus siglas en inglés) obteniendo parámetros de controlador que optimizan el rendimiento, en términos del Error absoluto integral (IAE, por sus siglas en inglés), mientras operan en una región de bajo consumo de energía. El enfoque propuesto se probó experimentalmente utilizando datos reales obtenidos de una planta prototipo de laboratorio. Algunas pruebas experimentales que ilustran la idoneidad de nuestro método se muestran al final de este artículo. | spa |
dc.format.mimetype | eng | |
dc.identifier.doi | 10.17533/udea.redin.20201010 | |
dc.identifier.issn | 24222844 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12442/6781 | |
dc.identifier.url | ttps://revistas.udea.edu.co/index.php/ingenieria/article/view/341251 | |
dc.language.iso | eng | eng |
dc.publisher | Universidad de Antioquia | spa |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | eng |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Revista Facultad de Ingeniería Universidad de Antioquia | spa |
dc.source | Vol. XX, (2020) | |
dc.subject | Optimal control tuning | eng |
dc.subject | Process control | eng |
dc.subject | Design of experiments | eng |
dc.subject | Factorial design | eng |
dc.subject | Sintonía óptima de control | spa |
dc.subject | Control de procesos | spa |
dc.subject | Diseño de experimentos | spa |
dc.subject | Diseño factorial | spa |
dc.title | Control scheme selection and optimal tuning in industrial process control using factorial experiment design | eng |
dc.title.translated | Selección de estrategia y sintonización óptima de control industrial usando un diseño de experimento factorial | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.spa | Artículo científico | eng |
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oaire.version | info:eu-repo/semantics/acceptedVersion | spa |