Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Robust Lane Keeping Control for Tractor With Multi-Unit Trailer Under Parametric Uncertainty

Full metadata record
DC Field Value Language
dc.contributor.authorHan, Sangwon-
dc.contributor.authorYoon, Kyusang-
dc.contributor.authorPark, Geonyeong-
dc.contributor.authorHuh, Kunsoo-
dc.date.accessioned2026-03-13T04:30:18Z-
dc.date.available2026-03-13T04:30:18Z-
dc.date.issued2024-01-
dc.identifier.issn2379-8858-
dc.identifier.issn2379-8904-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211287-
dc.description.abstractIn this paper, a lane-keeping system is proposed for the tractor with two articulated trailers. For Tractor with Multi-Unit Trailer (T-MUT) vehicles, the motions of each unit of the vehicle are quite different from those of ordinary single-unit vehicles. Based on the dynamic model of the T-MUT vehicle, the lane-keeping control system of a T-MUT vehicle is designed with Model Predictive Control (MPC). In order to consider the uncertainty of the weight change at each trailer, a model uncertainty analysis is performed through the transfer functions for each hitch angle. For lane-keeping performance, the geometry constraints on each unit of the T-MUT vehicle are described to prevent the vehicle from lane invasion. Also, by applying the constraint tightening method to the output of the controller, a robust MPC is designed against model uncertainty, such as weight changes at each trailer. The performance of the proposed controller is validated in simulations with various curvature scenarios.-
dc.format.extent15-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleRobust Lane Keeping Control for Tractor With Multi-Unit Trailer Under Parametric Uncertainty-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/TIV.2023.3272655-
dc.identifier.scopusid2-s2.0-85159847186-
dc.identifier.wosid001173317800193-
dc.identifier.bibliographicCitationIEEE Transactions on Intelligent Vehicles, v.9, no.1, pp 2333 - 2347-
dc.citation.titleIEEE Transactions on Intelligent Vehicles-
dc.citation.volume9-
dc.citation.number1-
dc.citation.startPage2333-
dc.citation.endPage2347-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTransportation-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTransportation Science & Technology-
dc.subject.keywordPlusAutonomous vehicles-
dc.subject.keywordPlusControllers-
dc.subject.keywordPlusIntelligent vehicle highway systems-
dc.subject.keywordPlusLight trailers-
dc.subject.keywordPlusPredictive control systems-
dc.subject.keywordPlusTractors (agricultural)-
dc.subject.keywordPlusTractors (truck)-
dc.subject.keywordPlusUncertainty analysis-
dc.subject.keywordAuthorAutonomous Vehicle-
dc.subject.keywordAuthorLane Keeping-
dc.subject.keywordAuthorTractor Multi Unit trailer-
dc.subject.keywordAuthorModel Predictive Control-
dc.subject.keywordAuthorParametric Uncertainty-
dc.subject.keywordAuthorConstraints Tightening-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10115010-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE