Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정주 | - |
dc.date.accessioned | 2020-07-06T02:07:34Z | - |
dc.date.available | 2020-07-06T02:07:34Z | - |
dc.date.issued | 2019-06 | - |
dc.identifier.citation | 2019 12th Asian Control Conference (ASCC) Control Conference (ASCC), Page. 325-330 | en_US |
dc.identifier.isbn | 978-4-88898-300-6 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8765070?arnumber=8765070&SID=EBSCO:edseee | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/151657 | - |
dc.description.abstract | In this paper, we propose a vertical forces estimator based on Unscented Kalman Filter (UKF). The vehicle dynamics is so complicated that it is common to estimate its motion using its reduced model based on a decoupled model consisting of a lateral dynamic model and a longitudinal dynamic model on an even road. The decoupled model is not effective in estimating vehicle motion, when the vehicle is severely maneuvered causing high rolling motion. In this paper, we propose a new estimator to estimate the roll angle and lateral acceleration in using UKF algorithm for 3-Degree-Of-Freedom Model. Then a lateral load transfer model and a longitudinal load transfer model are used to estimate the vertical load force on each tire. From the numerical simulation study using MATLAB/CarSim, we observed that there were good agreements between ground truth and the estimated vertical tire forces even the vehicle was driven at 60 km/hour speed by a sine wave steering wheel angle with ± 60 degrees at 0.1Hz on various driving roads. | en_US |
dc.description.sponsorship | This work was partly supported by Korea Evaluation Institute of Industrial Technology (KEIT) grant funded by the Korea government (MOTIE) (No.20000293, Road Surface Condition Detection using Environmental and Invehicle Sensors) and supported by Ministry of SMEs and Startup funded by the Korea government (MOTIE) (No.S2367759, Development of Stereo-camera Matching Method and Automatic Parking System) | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Mathematical model | en_US |
dc.subject | Tires | en_US |
dc.subject | Load modeling | en_US |
dc.subject | Force | en_US |
dc.subject | Dynamics | en_US |
dc.subject | Vehicle dynamics | en_US |
dc.subject | Kalman filters | en_US |
dc.title | Vehicular Vertical Tire Forces Estimation Using Unscented Kalman Filter | en_US |
dc.type | Article | en_US |
dc.relation.page | 325-330 | - |
dc.contributor.googleauthor | Kim, Suk Won | - |
dc.contributor.googleauthor | Jeong, Yong Woo | - |
dc.contributor.googleauthor | Kim, Jin Sung | - |
dc.contributor.googleauthor | Lee, Seung-Hi | - |
dc.contributor.googleauthor | Chung, Chung Choo | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | cchung | - |
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