Tuning of Fractional Order PID with Master-Slave Stochastic Multi-parameter Divergence Optimization Method

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dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridSENOL, Bilal/0000-0002-3734-8807
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidSENOL, Bilal/Y-5328-2018
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAtes, Abdullah
dc.contributor.authorYeroglu, Celaleddin
dc.contributor.authorAlagoz, Baris Baykant
dc.contributor.authorSenol, Bilal
dc.date.accessioned2024-08-04T20:39:59Z
dc.date.available2024-08-04T20:39:59Z
dc.date.issued2014
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Fractional Differentiation and its Applications (ICFDA) -- JUN 23-25, 2014 -- Catania, ITALYen_US
dc.description.abstractThis paper presents master-slave stochastic multi-parameters divergence optimization (SMDO) method for tuning of fractional order proportional-integral-derivative (FOPID) controllers. Bode's ideal control loop (BICL) is used as a reference model that guides the optimization process. Master-slave SMDO performs optimization of FOPID and BICL parameters together. In the first stage called as locking, step responses of FOPID and BICL approximate each other. In the second stage called as drifting, BICL guides tuning of the FOPID towards a desired step response. One of the advantages of presented optimization approach is that both optimization of the reference model (BICL) and controller (FOPID) cooperates and the tuning of FOPID is governed by BICL in the drifting stage. Operation and performance of the proposed algorithm are demonstrated by simulation examples.en_US
dc.description.sponsorshipUniv Studi Catania,Home Ind & Bldg Automat Syst,Schneider Elect,IEEE Italian Chapters,IEEE Instrumentat & Measurement Soc,Nucl & Plasma Sci Soc,IEEE Control Syst Soc,Circuits & Syst Socen_US
dc.identifier.isbn978-1-4799-2591-9
dc.identifier.issn2471-612X
dc.identifier.scopus2-s2.0-84918526438en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/96628
dc.identifier.wosWOS:000411493600033en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2014 International Conference on Fractional Differentiation and Its Applications (Icfda)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfractional order PIDen_US
dc.subjectSMDOen_US
dc.subjectreference modelen_US
dc.subjectstochastic optimizationen_US
dc.subjectBodeen_US
dc.subjectmaster-slaveen_US
dc.titleTuning of Fractional Order PID with Master-Slave Stochastic Multi-parameter Divergence Optimization Methoden_US
dc.typeConference Objecten_US

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