Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94638
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLi, Ben_US
dc.creatorHuang, Cen_US
dc.creatorWu, Yen_US
dc.creatorZhang, Ben_US
dc.creatorDu, Hen_US
dc.date.accessioned2022-08-25T01:54:16Z-
dc.date.available2022-08-25T01:54:16Z-
dc.identifier.urihttp://hdl.handle.net/10397/94638-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Li, B.; Huang, C.;Wu, Y.; Zhang, B.; Du, H. A Three-Dimensional Integrated Non-Linear Coordinate Control Framework for Combined Yaw- and Roll-Stability Control during Tyre Blow-Out. Sensors 2021, 21, 8328 is available at https://doi.org/10.3390/s21248328.en_US
dc.subjectModel predictive controlen_US
dc.subjectRoll stabilityen_US
dc.subjectTyre blow-outen_US
dc.subjectVehicle dynamics modelen_US
dc.subjectYaw stabilityen_US
dc.titleA three-dimensional integrated non-linear coordinate control framework for combined yaw- and roll-stability control during tyre blow-outen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume21en_US
dc.identifier.issue24en_US
dc.identifier.doi10.3390/s21248328en_US
dcterms.abstractA tyre blow-out can greatly affect vehicle stability and cause serious accidents. In the literature, however, studies on comprehensive three-dimensional vehicle dynamics modelling and stability control strategies in the event of a sudden tyre blow-out are seriously lacking. In this study, a comprehensive 14 degrees-of-freedom (DOF) vehicle dynamics model is first proposed to describe the vehicle yaw-plane and roll-plane dynamics performance after a tyre blow-out. Then, based on the proposed 14 DOF dynamics model, an integrated control framework for a combined yaw plane and roll-plane stability control is presented. This integrated control framework consists of a vehicle state predictor, an upper-level control mode supervisor and a lower-level 14 DOF model predictive controller (MPC). The state predictor is designed to predict the vehicle’s future states, and the upper-level control mode supervisor can use these future states to determine a suitable control mode. After that, based on the selected control mode, the lower-level MPC can control the individual driving actuator to achieve the combined yaw plane and roll plane control. Finally, a series of simulation tests are conducted to verify the effectiveness of the proposed control strategy.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors, Dec. 2021, v. 21, no. 24, 8328en_US
dcterms.isPartOfSensorsen_US
dcterms.issued2021-12-
dc.identifier.scopus2-s2.0-85120995865-
dc.identifier.eissn1424-8220en_US
dc.identifier.artn8328en_US
dc.description.validate202208 bcwwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberISE-1040-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextOpen Research Fund Program of the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body; Hunan University grant number [31715002] and China Postdoctoral Science Foundation Grant grant number [2018M632958]en_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS60535337-
dc.description.oaCategoryCCen_US
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