Beam and Ball Plant System Controlling Using Intuitionistic Fuzzy Control

dc.authorscopusid 57210598822
dc.authorscopusid 37030525400
dc.authorscopusid 57210605351
dc.authorscopusid 7007101709
dc.contributor.author Silahtar, O.
dc.contributor.author Atan, Ö.
dc.contributor.author Kutlu, F.
dc.contributor.author Castillo, O.
dc.date.accessioned 2025-05-10T17:03:15Z
dc.date.available 2025-05-10T17:03:15Z
dc.date.issued 2021
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp Silahtar O., Department of Electrical and Electronics Engineering, Engineering Faculty, Van Yuzuncu Yil University, Van, 65080, Turkey; Atan Ö., Department of Electrical and Electronics Engineering, Engineering Faculty, Van Yuzuncu Yil University, Van, 65080, Turkey; Kutlu F., Department of Mathematics, Faculty of Science, Van Yuzuncu Yil University, Van, 65080, Turkey; Castillo O., Department of Computing Science, Tijuana Institute of Technology, Tijuana, Mexico en_US
dc.description.abstract In this study, simplified “beam and ball (BNB) system” is controlled using “intuitionistic fuzzy control (IFC)” method. It is aimed to keep the ball on it in balance by applying DC voltage in different magnitudes to the DC motor of the system called “ball and beam plant”, which has a beam on which a DC motor is attached to the middle point and a ball moving without friction. In order to better observe the effect of this new generation controller applied to the system, parameters such as the torque of the motor, the mass of the beam and the ball, internal and external disturbance, friction etc. were ignored and the system is simplified. The position and velocity of the ball on the beam is taken as input for the controller, while the controller output is chosen as a DC voltage. After I-Fuzzification, I-Inference and I-Defuzzification process are performed in controller block, performance and efficiency of the system are discussed in terms of steady state error, setting time, maximum overshoot, chattering. © 2021, IFIP International Federation for Information Processing. en_US
dc.identifier.doi 10.1007/978-3-030-74826-5_22
dc.identifier.endpage 262 en_US
dc.identifier.isbn 9783030748258
dc.identifier.issn 1868-4238
dc.identifier.scopus 2-s2.0-85105888567
dc.identifier.scopusquality Q4
dc.identifier.startpage 255 en_US
dc.identifier.uri https://doi.org/10.1007/978-3-030-74826-5_22
dc.identifier.uri https://hdl.handle.net/20.500.14720/5659
dc.identifier.volume 623 en_US
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Springer Science and Business Media Deutschland GmbH en_US
dc.relation.ispartof IFIP Advances in Information and Communication Technology -- 4th IFIP TC 12 International Conference on Intelligence Science, ICIS 2020 -- 24 February 2021 through 27 February 2021 -- Durgapur -- 258019 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Beam And Ball (Bnb) System en_US
dc.subject Controller Design en_US
dc.subject Intuitionistic Fuzzy Control (Ifc) en_US
dc.title Beam and Ball Plant System Controlling Using Intuitionistic Fuzzy Control en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.coar.access metadata only access
gdc.coar.type text::conference output

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