ANFIS & PI?D? controller design and comparison for overhead cranes

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dc.authorwosidArpacı, Hüseyin/ABG-9777-2020
dc.authorwosidÖzgüven, ÖmerülFaruk/ABH-1035-2020
dc.contributor.authorArpaci, Huseyin
dc.contributor.authorOzguven, O. Faruk
dc.date.accessioned2024-08-04T20:56:29Z
dc.date.available2024-08-04T20:56:29Z
dc.date.issued2011
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe study suggests a method of designing an intelligent digital control for maintaining the load masses and target displacement at predefined position on overhead crane system. The control works on the basis of modeling at position control and sway angle control. In this study, the ANFIS and (PID mu)-D-lambda control system are applied to crane. Heuristic rules derived with the membership functions then the parameters of membership functions are tuned by adaptive neuro-fuzzy inference system (ANFIS). MATLAB, SIMULINK and Fuzzy Logic TOOLBOX are the programming environments used for realization of the model. The principle aim in designing the control is to assure the fastest and best transition possible from a controller for overhead crane. A non-linear model for an overhead crane system, which takes into account a combination of a trolley and a pendulum, is derived. The overall mathematical model obtained is simulated using MATLAB-SIMULINK. An adaptive neuro-fuzzy controller, which includes three rule bases, and PID, (PID mu)-D-lambda, used for position control, is successfully designed and implemented on the below simulated model. At the same time, in this performance, more rapid and less swing results are obtained for longer transportation distance with ANFIS control system, compared with the results of other studies.en_US
dc.identifier.endpage203en_US
dc.identifier.issn0971-4588
dc.identifier.issn0975-1017
dc.identifier.issue3en_US
dc.identifier.startpage191en_US
dc.identifier.urihttps://hdl.handle.net/11616/102361
dc.identifier.volume18en_US
dc.identifier.wosWOS:000295106700003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherNatl Inst Science Communication-Niscairen_US
dc.relation.ispartofIndian Journal of Engineering and Materials Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANFISen_US
dc.subjectFractionalen_US
dc.subjectPIDen_US
dc.subjectFuzzy logicen_US
dc.subjectCrane controlen_US
dc.subjectModelingen_US
dc.subjectSimulationen_US
dc.titleANFIS & PI?D? controller design and comparison for overhead cranesen_US
dc.typeArticleen_US

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