Time-domain identification of One Noninteger Order Plus Time Delay models from step response measurements

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dc.authoridTepljakov, Aleksei/0000-0002-7158-8484
dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridPetlenkov, Eduard/0000-0003-2167-6280
dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidTepljakov, Aleksei/F-1632-2017
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidPetlenkov, Eduard/G-5537-2017
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAlagoz, Baris Baykant
dc.contributor.authorTepljakov, Aleksei
dc.contributor.authorAtes, Abdullah
dc.contributor.authorPetlenkov, Eduard
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:45:44Z
dc.date.available2024-08-04T20:45:44Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description.abstractPractical performances of controller design methods strongly depend on relevancy of identified models. Fractional order system models promise advantage of more accurate modeling of real systems. This study presents a discussion on utilization of two fundamental numerical solution methods of fractional calculus in identification problems of One Noninteger Order Plus Time Delay with one pole (NOPTD-I) models. The identification process is carried out by estimating parameters of a NOPTD-I type transfer function template so that the step response of the NOPTD-I model can sufficiently fit experimental step response data. In the study, step responses of NOPTD-I models are numerically calculated according to two fundamental methods, which are Mittag-Leffler (ML) function and Grunwald-Letnikov (GL) definition. Particle swarm optimization (PSO) algorithm is used to perform data fitting. Illustrative examples are presented to evaluate model parameter estimation performances of these two methods for synthetically generated noisy test data. An experimental study is conducted for modeling pitch rotor of TRMS to compare experimental performances.en_US
dc.description.sponsorshipCOST Action [CA15225]; COST (European Cooperation in Science and Technology)en_US
dc.description.sponsorshipThis paper is based upon work from COST Action CA15225, a network supported by COST (European Cooperation in Science and Technology).en_US
dc.identifier.doi10.1142/S1793962319410113
dc.identifier.issn1793-9623
dc.identifier.issn1793-9615
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85061797174en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.urihttps://doi.org/10.1142/S1793962319410113
dc.identifier.urihttps://hdl.handle.net/11616/98660
dc.identifier.volume10en_US
dc.identifier.wosWOS:000459159100011en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWorld Scientific Publ Co Pte Ltden_US
dc.relation.ispartofInternational Journal of Modeling Simulation and Scientific Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModel identificationen_US
dc.subjectfractional-order systemsen_US
dc.subjectMittag-Leffler (ML) functionen_US
dc.subjectGrunwald-Letnikov (GL) definitionen_US
dc.subjectPSOen_US
dc.titleTime-domain identification of One Noninteger Order Plus Time Delay models from step response measurementsen_US
dc.typeArticleen_US

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