Fractional Generalized Predictive Control Strategy With Fractional Constraints Handling

Romero, Miguel y Mañoso, Carolina . (2022) Fractional Generalized Predictive Control Strategy With Fractional Constraints Handling. IEEE Access

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Título Fractional Generalized Predictive Control Strategy With Fractional Constraints Handling
Autor(es) Romero, Miguel
Mañoso, Carolina
Materia(s) Informática
Abstract The control strategies based on the methodology known as Model–based Predictive Control (MPC) have been developed and widely adopted to control real plants. This is mainly due to their intrinsic ability to handle constrains and their capacity to predict and optimize the future behavior of the process using a dynamical model of the plant. On the other hand, the mathematical tool known as fractional calculus has been currently used for reformulating the predictive control strategies to reach a better performance adding new control parameters. This work extends the use of fractional operators for the constraints in one type of fractional predictive control strategy known as Fractional–order Generalized Predictive Control (FGPC), interpreting and discussing the results. In addition, a new method to soften constraints using fractional operator is proposed and illustrated with examples, even to adjust the final response of the system. A practical tuning of the rest of controller parameters with the help of a well–known mathematical software is also included to make use of the beneficial characteristics of this fractional predictive formulation.
Palabras clave model predictive control
fractional calculus
fractional constraints
optimization
Editor(es) IEEE
Fecha 2022-12-08
Identificador bibliuned:DptoSCC-ETSI-Articulos-Mromero-0002
http://e-spacio.uned.es/fez/view/bibliuned:DptoSCC-ETSI-Articulos-Mromero-0002
DOI - identifier 10.1109/ACCESS.2022.3227864
ISSN - identifier 2169-3536
Nombre de la revista IEEE Access
Número de Volumen 10
Página inicial 128779
Página final 128789
Publicado en la Revista IEEE Access
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso cerrado
Notas adicionales The registered version of this article, first published in IEEE Access, is available online at the publisher's website: IEEE https://doi.org/10.1109/ACCESS.2022.3227864
Notas adicionales La versión registrada de este artículo, publicado por primera vez en IEEE Access, está disponible en línea en el sitio web del editor: IEEE https://doi.org/10.1109/ACCESS.2022.3227864

 
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Creado: Mon, 05 Feb 2024, 23:29:14 CET