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Disturbance rejection FOPID controller design in v-domain

Due to the adverse effects of unpredictable environmental disturbances on real control systems, robustness of control performance becomes a substantial asset for control system design. This study introduces a v-domain optimal design scheme for Fractional Order Proportional-Integral-Derivative (FOPID...

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Detalles Bibliográficos
Autores principales: Tufenkci, Sevilay, Senol, Bilal, Alagoz, Baris Baykant, Matušů, Radek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474196/
https://www.ncbi.nlm.nih.gov/pubmed/32922984
http://dx.doi.org/10.1016/j.jare.2020.03.002
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author Tufenkci, Sevilay
Senol, Bilal
Alagoz, Baris Baykant
Matušů, Radek
author_facet Tufenkci, Sevilay
Senol, Bilal
Alagoz, Baris Baykant
Matušů, Radek
author_sort Tufenkci, Sevilay
collection PubMed
description Due to the adverse effects of unpredictable environmental disturbances on real control systems, robustness of control performance becomes a substantial asset for control system design. This study introduces a v-domain optimal design scheme for Fractional Order Proportional-Integral-Derivative (FOPID) controllers with adoption of Genetic Algorithm (GA) optimization. The proposed design scheme performs placement of system pole with minimum angle to the first Riemann sheet in order to obtain improved disturbance rejection control performance. In this manner, optimal placement of the minimum angle system pole is conducted by fulfilling a predefined reference to disturbance rate (RDR) design specification. For a computer-aided solution of this optimal design problem, a multi-objective controller design strategy is presented by adopting GA. Illustrative design examples are demonstrated to evaluate performance of designed FOPID controllers.
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spelling pubmed-74741962020-09-11 Disturbance rejection FOPID controller design in v-domain Tufenkci, Sevilay Senol, Bilal Alagoz, Baris Baykant Matušů, Radek J Adv Res Article Due to the adverse effects of unpredictable environmental disturbances on real control systems, robustness of control performance becomes a substantial asset for control system design. This study introduces a v-domain optimal design scheme for Fractional Order Proportional-Integral-Derivative (FOPID) controllers with adoption of Genetic Algorithm (GA) optimization. The proposed design scheme performs placement of system pole with minimum angle to the first Riemann sheet in order to obtain improved disturbance rejection control performance. In this manner, optimal placement of the minimum angle system pole is conducted by fulfilling a predefined reference to disturbance rate (RDR) design specification. For a computer-aided solution of this optimal design problem, a multi-objective controller design strategy is presented by adopting GA. Illustrative design examples are demonstrated to evaluate performance of designed FOPID controllers. Elsevier 2020-03-13 /pmc/articles/PMC7474196/ /pubmed/32922984 http://dx.doi.org/10.1016/j.jare.2020.03.002 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Tufenkci, Sevilay
Senol, Bilal
Alagoz, Baris Baykant
Matušů, Radek
Disturbance rejection FOPID controller design in v-domain
title Disturbance rejection FOPID controller design in v-domain
title_full Disturbance rejection FOPID controller design in v-domain
title_fullStr Disturbance rejection FOPID controller design in v-domain
title_full_unstemmed Disturbance rejection FOPID controller design in v-domain
title_short Disturbance rejection FOPID controller design in v-domain
title_sort disturbance rejection fopid controller design in v-domain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474196/
https://www.ncbi.nlm.nih.gov/pubmed/32922984
http://dx.doi.org/10.1016/j.jare.2020.03.002
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