Modeling and control of scaled a tower crane system

Basit Öğe Kaydı
dc.contributor.authorTinkir M.
dc.contributor.authorÖnen Ü.
dc.contributor.authorKalyoncu M.
dc.contributor.authorSahin Y.
dc.date.accessioned2020-03-26T18:22:17Z
dc.date.available2020-03-26T18:22:17Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description2011 3rd International Conference on Computer Research and Development, ICCRD 2011 -- 11 March 2011 through 15 March 2011 -- Shanghai -- 84959en_US
dc.description.abstractIn this paper, we proposed a hierarchical artificial neural network based adaptive fuzzy logic (HANNFL) control of flexible link carrying pendulum system which was assumed as scaled a tower crane system and capable to move in the horizontal plane. Simulation and experimental studies were realized to control position and tip displacement of the flexible link and swing angles of pendulum. The dynamic model of the system was obtained by using Lagrange formulation and three-dimensional solid modeling program. The results obtained from simulation and experimental works were compared and given by graphics and tables. The validity of simulations were verified by experimental studies and the performance of the desired controller was explored. The position, tip displacement and swing angle control of the system were carried out successfully both simulation and experimental studies and desired goals were achieved. © 2011 IEEE.en_US
dc.identifier.doi10.1109/ICCRD.2011.5763861en_US
dc.identifier.endpage98en_US
dc.identifier.isbn9.78161E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage93en_US
dc.identifier.urihttps://dx.doi.org/10.1109/ICCRD.2011.5763861
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27258
dc.identifier.volume4en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofICCRD2011 - 2011 3rd International Conference on Computer Research and Developmenten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectflexibleen_US
dc.subjectHierarchical artificial neural network based adaptive fuzzy logic controlen_US
dc.subjectpendulumen_US
dc.subjectswing angleen_US
dc.titleModeling and control of scaled a tower crane systemen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu