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

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dc.contributor.authorAydin, Gulsah Demirhan
dc.contributor.authorAydemir, Ali Bahadir
dc.contributor.authorKansou, Mohamad Thaer
dc.contributor.authorAltinuc, Kemal Orcun
dc.date.accessioned2025-04-16T10:18:41Z
dc.date.issued2024
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.
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85200855657
dc.identifier.urihttps://hdl.handle.net/11727/12853
dc.identifier.wos001297894700159
dc.language.isoen_US
dc.publisher32ND IEEE SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU 2024
dc.subjecttire longitudinal slip ratio control
dc.subjectmodel predictive control
dc.subjecttrajectory following
dc.subjectautonomous electric tractor
dc.titleA New Approach for Addressing Slip Ratio Optimization and Trajectory Tracking Challenges in Autonomous Tractor Operations
dc.typeProceedings Paper

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