Design of Adaptive Fractional-Order PID Controller to Enhance Robustness by Means of Adaptive Network Fuzzy Inference System

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dc.authorwosidÖzgüven, ÖmerülFaruk/ABH-1035-2020
dc.authorwosidArpacı, Hüseyin/ABG-9777-2020
dc.contributor.authorArpaci, Huseyin
dc.contributor.authorOzguven, Omerul Faruk
dc.date.accessioned2024-08-04T20:43:56Z
dc.date.available2024-08-04T20:43:56Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this paper, a tuning strategy for the design of fractional-order proportional-integral-derivative ((PID mu)-D-lambda) controllers is proposed. First, a (PID mu)-D-lambda controller is designed with genetic algorithm in order to obtain the training data. Then, three Adaptive Network Fuzzy Inference System (ANFIS) structures, related to K-p, K-i and K-d parameters of the (PID mu)-D-lambda controller, are formed by using the training data. These ANFIS structures are used in the (PID mu)-D-lambda controller instead of K-p, K-i and K-d parameters, and they are capable of self-tuning during the simulation based on the input signal of the adaptive (PID mu)-D-lambda controller (ANFIS-(PID mu)-D-lambda). Finally, in order to show the control performance and robustness of the proposed parameters adjustment method with ANFIS, simulation results are obtained by using the MATLAB-Simulink program for two different systems and the results obtained from ANFIS-(PID mu)-D-lambda controller are compared with the results of (PID mu)-D-lambda and fuzzy logic controller.en_US
dc.identifier.doi10.1007/s40815-016-0283-9
dc.identifier.endpage1131en_US
dc.identifier.issn1562-2479
dc.identifier.issn2199-3211
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85027187780en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1118en_US
dc.identifier.urihttps://doi.org/10.1007/s40815-016-0283-9
dc.identifier.urihttps://hdl.handle.net/11616/97927
dc.identifier.volume19en_US
dc.identifier.wosWOS:000407380900013en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofInternational Journal of Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANFISen_US
dc.subjectFractional-order systemsen_US
dc.subjectPID controlleren_US
dc.subjectAdaptive fractional-order PID controlleren_US
dc.subjectFuzzy logic controlen_US
dc.subjectRobustnessen_US
dc.subjectTuning coefficienten_US
dc.subjectDC motoren_US
dc.subjectHeat exchangeren_US
dc.titleDesign of Adaptive Fractional-Order PID Controller to Enhance Robustness by Means of Adaptive Network Fuzzy Inference Systemen_US
dc.typeArticleen_US

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