A New Approach for Addressing Slip Ratio Optimization and Trajectory Tracking Challenges in Autonomous Tractor Operations;

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dc.authorscopusid58727959200
dc.authorscopusid59254301900
dc.authorscopusid59254302000
dc.authorscopusid58126430900
dc.contributor.authorAydın,G.D.
dc.contributor.authorAydemir,A.B.
dc.contributor.authorKansou,M.T.
dc.contributor.authorAltınuç,K.O.
dc.contributor.otherMechatronics Engineering
dc.date.accessioned2024-09-10T21:35:57Z
dc.date.available2024-09-10T21:35:57Z
dc.date.issued2024
dc.departmentAtılım Universityen_US
dc.department-tempAydın G.D., Electrical and Electronics Engineering Department, Baskent University, Ankara, 06790, Turkey, METU MEMS Centre, Middle East Technical University, Ankara, 06510, Turkey, Mechatronics Engineering Department, Atılım University, Ankara, 06830, Turkey; Aydemir A.B., Mechatronics Engineering Department, Atılım University, Ankara, 06830, Turkey; Kansou M.T., Mechatronics Engineering Department, Atılım University, Ankara, 06830, Turkey; Altınuç K.O., Mechatronics Engineering Department, Atılım University, Ankara, 06830, Turkeyen_US
dc.descriptionBerdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus Universityen_US
dc.description.abstractThe usage of autonomous agricultural machines is increasing. In this study, two controllers have been designed for trajectory following and longitudinal tire slip ratio control of a rear-wheel independent traction electric autonomous tractor. The first controller is model predictive control (MPC) and the second controller is proportional integral derivative (PID) based. To evaluate the performance of the controllers in the simulation environment, a mathematical tractor model is prepared. Simulations have been made and performances of the designed controllers are shared. © 2024 IEEE.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/SIU61531.2024.10600918
dc.identifier.isbn979-835038896-1
dc.identifier.scopus2-s2.0-85200855657
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10600918
dc.identifier.urihttps://hdl.handle.net/20.500.14411/7395
dc.identifier.wosqualityN/A
dc.institutionauthorAydemir, Ali Bahadır
dc.institutionauthorAltınuç, Kemal Orçun
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings -- 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectautonomous electric tractoren_US
dc.subjectmodel predictive controlen_US
dc.subjecttire longitudinal slip ratio controlen_US
dc.subjecttrajectory followingen_US
dc.titleA New Approach for Addressing Slip Ratio Optimization and Trajectory Tracking Challenges in Autonomous Tractor Operations;en_US
dc.title.alternativeOtonom Traktör İşlemlerinde Teker Kayma Oranı Optimizasyonu ve Yörünge Takibine Yönelik Yeni Bir Yaklaşımen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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