Design of an optimal fractional fuzzy gain-scheduled Smith Predictor for a time-delay process with experimental application

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dc.authoridOZBEK, Necdet Sinan/0000-0002-7184-9015
dc.contributor.authorOzbek, Necdet Sinan
dc.contributor.authorEker, Ilyas
dc.date.accessioned2025-01-06T17:44:36Z
dc.date.available2025-01-06T17:44:36Z
dc.date.issued2020
dc.description.abstractThis study addresses an experimental investigation of a novel modified Smith Predictor (SP) based fractional fuzzy gain-scheduled control scheme in control of a time-delayed thermal process. The control strategy employees a fuzzy algorithm to adjust convenient controller parameters based on the system's operating conditions. Performance enhancement of the closed-loop system enables more robust behavior in the presence of disturbance while reducing energy consumption by producing a smooth control signal in comparison with the traditional integer order SP structures. The proposed controller comprises self-tuning capabilities at runtime which makes it adaptive in nature. The motivation of the present paper is in both points of theory and experimental application. The theoretical contribution is to propose a new Smith Predictor based fractional order fuzzy dead-time compensation scheme that can handle uncertainties, parameter variations, and internal external disturbances. The practical contribution is to apply the proposed control scheme to a real-time air-heating process. The performances of the elaborated control strategies are investigated in both computer simulation and experimental application under different operating conditions. The proposed fractional fuzzy control scheme is found superior to the classical PI-PD SP and integer fuzzy controllers for temperature profile tracking tasks. Moreover, complementary comments are highlighted on the advantages and drawbacks of each controller. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
dc.description.sponsorshipScientific and Technological Council of Turkey (TUBITAK) [2214-A]; Scientific Research Projects Unit of Adana Alparslan Turkes Science and Technology University [18103030]; Cukurova University [FDK-2015-5088]
dc.description.sponsorshipThe authors would like to thank the anonymous reviewers for careful reading of the manuscript and their valuable comments. The first author was financially supported by the Scientific and Technological Council of Turkey (TUBITAK) under the 2214-A grant program and Scientific Research Projects Unit of Adana Alparslan Turkes Science and Technology University under the 18103030 project number. This work is financially supported by Cukurova University under the FDK-2015-5088 project number.
dc.identifier.doi10.1016/j.isatra.2019.08.009
dc.identifier.endpage35
dc.identifier.issn0019-0578
dc.identifier.issn1879-2022
dc.identifier.pmid31445786
dc.identifier.scopus2-s2.0-85070866998
dc.identifier.scopusqualityQ1
dc.identifier.startpage14
dc.identifier.urihttps://doi.org/10.1016/j.isatra.2019.08.009
dc.identifier.urihttps://hdl.handle.net/20.500.14669/3114
dc.identifier.volume97
dc.identifier.wosWOS:000525754600002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofIsa Transactions
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectTime delay
dc.subjectFractional calculus
dc.subjectFuzzy logic
dc.subjectPI-PD control
dc.subjectSmith Predictor
dc.subjectGenetic algorithm
dc.subjectGain-scheduling
dc.subjectStability analysis
dc.titleDesign of an optimal fractional fuzzy gain-scheduled Smith Predictor for a time-delay process with experimental application
dc.typeArticle

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