Sensor fault detection algorithm for Continuous Damping Control (CDC) system
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jihwan | - |
dc.contributor.author | Lee, Hyeong cheol | - |
dc.date.accessioned | 2022-12-21T06:55:07Z | - |
dc.date.available | 2022-12-21T06:55:07Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2007-08 | - |
dc.identifier.issn | 0148-7191 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179750 | - |
dc.description.abstract | This paper presents a model based sensor fault detection and isolation algorithm for the vertical acceleration sensors of the Continuous Damping Control (CDC) system, installed on the sprung mass. Since sensor faults of CDC system have a critical influence on the ride performance as well as the vehicle stability, the sensor fault detection algorithm must be implemented into the overall CDC algorithm. In this paper, each vertical acceleration sensor installed on the sprung mass (two in the front corners and one in the rear) separately estimates the vertical acceleration of the center of gravity of the sprung mass. Then, the sensor fault is detected by cross-checking all three vertical acceleration estimates independently obtained by the each vertical acceleration sensor. Since the pitch and roll acceleration of the sprung mass are required in order to estimate the vertical acceleration of the center of gravity of the sprung mass and there is no sensor to measure them in the CDC system, the pitch and roll acceleration of the sprung mass should be estimated using the longitudinal and lateral acceleration measurements. Simulation results show the feasibility and effectiveness of the proposed fault detection and isolation algorithm. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SAE International | - |
dc.title | Sensor fault detection algorithm for Continuous Damping Control (CDC) system | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Hyeong cheol | - |
dc.identifier.doi | 10.4271/2007-01-3560 | - |
dc.identifier.scopusid | 2-s2.0-85072425385 | - |
dc.identifier.bibliographicCitation | SAE Technical Papers | - |
dc.relation.isPartOf | SAE Technical Papers | - |
dc.citation.title | SAE Technical Papers | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Acceleration | - |
dc.subject.keywordPlus | Automotive engineering | - |
dc.subject.keywordPlus | Damping | - |
dc.subject.keywordPlus | Gravitation | - |
dc.subject.keywordPlus | Signal detection | - |
dc.subject.keywordPlus | Center of gravity | - |
dc.subject.keywordPlus | Fault detection and isolation | - |
dc.subject.keywordPlus | Lateral acceleration measurement | - |
dc.subject.keywordPlus | Model-based OPC | - |
dc.subject.keywordPlus | Ride performance | - |
dc.subject.keywordPlus | Sensor fault detection | - |
dc.subject.keywordPlus | Vehicle stability | - |
dc.subject.keywordPlus | Vertical accelerations | - |
dc.subject.keywordPlus | Fault detection | - |
dc.identifier.url | https://saemobilus.sae.org/content/2007-01-3560/ | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.