A stochastic multi-parameters divergence method for online auto-tuning of fractional order PID controllers

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dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorYeroglu, Celaleddin
dc.contributor.authorAtes, Abdullah
dc.date.accessioned2024-08-04T20:39:39Z
dc.date.available2024-08-04T20:39:39Z
dc.date.issued2014
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThis paper presents a stochastic multi-parameters divergence method for online parameter optimization of fractional-order proportional-integral-derivative (PID) controllers. The method is used for auto-tuning without the need for exact mathematical plant model and it is applicable to diverse plant transfer functions. The proposed controller tuning algorithm is capable of adaptively responding to parameter fluctuations and model uncertainties in real systems. Adaptation skill enhances controller performance for real-time applications. Simulations and experimental observations are carried on a prototype helicopter model to confirm the performance improvements obtained by the online auto-tuning of fractional-order PID structure in laboratory conditions. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.jfranklin.2013.12.006
dc.identifier.endpage2429en_US
dc.identifier.issn0016-0032
dc.identifier.issn1879-2693
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-84898800073en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2411en_US
dc.identifier.urihttps://doi.org/10.1016/j.jfranklin.2013.12.006
dc.identifier.urihttps://hdl.handle.net/11616/96412
dc.identifier.volume351en_US
dc.identifier.wosWOS:000336470300002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofJournal of The Franklin Institute-Engineering and Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDesignen_US
dc.subjectGainen_US
dc.subjectSystemsen_US
dc.titleA stochastic multi-parameters divergence method for online auto-tuning of fractional order PID controllersen_US
dc.typeArticleen_US

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