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차량 섀시 제어 성능 향상을 위한 타이어 힘 추정

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dc.contributor.author김인한-
dc.contributor.author조정민-
dc.contributor.author허건수-
dc.date.accessioned2021-07-30T05:24:37Z-
dc.date.available2021-07-30T05:24:37Z-
dc.date.created2021-05-14-
dc.date.issued2018-06-
dc.identifier.issn2713-7163-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4693-
dc.description.abstractTo consider the dynamics and control of a vehicle, it is necessary to have knowledge of the forces that act on a wheel. In this paper, a tire force estimation algorithm using in-vehicle sensor is proposed to prevent saturation of friction limit in a tire friction circle and improve vehicle motion control. Using only in-vehicle sensors, the algorithm estimates longitudinal, lateral and vertical tire force which is accurate and robust to sensor noise. In the proposed estimation algorithm, vertical force is estimated by applying a vehicle dynamics model, and longitudinal and lateral tire force is calculated by using a tire model. All the forces are filtered by Kalman Filter and the performance of the estimator is validated by CarMaker and MATLAB/Simulink.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.title차량 섀시 제어 성능 향상을 위한 타이어 힘 추정-
dc.title.alternativeTire Force Estimation for Improvement of Vehicle Chassis Control Performance-
dc.typeArticle-
dc.contributor.affiliatedAuthor허건수-
dc.identifier.bibliographicCitation2018 한국자동차공학회 춘계학술대회, pp.305 - 307-
dc.relation.isPartOf2018 한국자동차공학회 춘계학술대회-
dc.citation.title2018 한국자동차공학회 춘계학술대회-
dc.citation.startPage305-
dc.citation.endPage307-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorTire Force Estimation(타이어 힘 추정)-
dc.subject.keywordAuthorIn-vehicle Sensor(차량 내부 센서)-
dc.subject.keywordAuthorChassis Control(샤시 제어)-
dc.subject.keywordAuthorKalman Filter(칼만 필터)-
dc.subject.keywordAuthorTire model(타이어 모델)-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07546533-
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서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

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