Adaptive control of a time-varying rotary servo system using a fuzzy model reference learning controller with variable adaptation gain

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dc.contributor.authorAydoğdu, Ömer
dc.contributor.authorAlkan, Özdemir
dc.date.accessioned2020-03-26T18:41:04Z
dc.date.available2020-03-26T18:41:04Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe constant parameters in a conventional fuzzy controller lead to a poor performance for time-varying systems. In this study, a fuzzy model reference learning controller (FMRLC) with a newly defined variable adaptation gain is designed and implemented in the adaptive fuzzy control of a time-varying rotary servo (TVRS) system. In the design of the FMRLC, a knowledge-base modification algorithm with variable adaptation gain is used instead of a fuzzy relation table. Hence, it is provided that the learning and adaptation mechanism continuously updates the knowledge base of the adaptive fuzzy controller against any parameter variations, such as changing loads. By means of the learning and adaptation mechanism, the TVRS system behaves as a defined reference model in the desired performance in time. The initial parameters of the FMRLC are easily determined by trial and error because of the variable adaptation gain. Using the designed controller, the adaptive fuzzy control of the TVRS system performs successfully in the simulation and practical implementation. The simulation of the system is executed in a MATLAB-Simulink environment and the practical application is implemented in a Quanser Q3 experimental servo module based on MATLAB-Simulink. The simulation and experimental results are given to demonstrate the effectiveness of the proposed control structure.en_US
dc.description.sponsorshipSelcuk University Scientific Research Projects (BAP) Support FundSelcuk University [09101057]en_US
dc.description.sponsorshipThis study was supported by the Selcuk University Scientific Research Projects (BAP) Support Fund under contract number 09101057.en_US
dc.identifier.doi10.3906/elk-1201-115en_US
dc.identifier.endpage2180en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2168en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1201-115
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29194
dc.identifier.volume21en_US
dc.identifier.wosWOS:000326514200004en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAdaptive fuzzy controlen_US
dc.subjectfuzzy model reference learning controlen_US
dc.subjectvariable adaptation gainen_US
dc.subjecttime varying servo systemen_US
dc.titleAdaptive control of a time-varying rotary servo system using a fuzzy model reference learning controller with variable adaptation gainen_US
dc.typeArticleen_US

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