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Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Advanced Vehicle Dynamics and Mechatronic Systems - VEDYMECes
dc.affiliation.institutoUC3M. Instituto de Seguridad de los Vehículos Automóviles Duque de Santomauroes
dc.contributor.authorViadero Monasterio, Fernando
dc.contributor.authorGarcía Guzmán, Javier
dc.contributor.authorMelendez Useros, Miguel
dc.contributor.authorJimenez Salas, Manuel
dc.contributor.authorLópez Boada, Beatriz
dc.contributor.authorLópez Boada, María Jesúses
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2024-01-17T17:55:43Z
dc.date.available2024-01-17T17:55:43Z
dc.date.issued2024-01-11
dc.description.abstractIn recent years, there has been a significant integration of advanced technology into the automotive industry, aimed primarily at enhancing safety and ride comfort. While a notable proportion of these driver-assist systems focuses on skid prevention, insufficient attention has been paid to addressing other crucial scenarios, such as rollovers. The accurate estimation of slip and roll angles plays a vital role in ensuring vehicle control and safety, making these parameters essential, especially with the rise of modern technologies that incorporate networked communication and distributed computing. Furthermore, there exists a lag in the transmission of information between the various vehicle systems, including sensors, actuators, and controllers. This paper outlines the design of an IoT architecture that accurately estimates the sideslip angle and roll angle of a vehicle, while addressing network transmission delays with a networked control system and an event-triggered communication scheme. Experimental results are presented to validate the performance of the IoT architecture proposed. The event-triggered scheme of the IoT solution is used to decrease data transmission and prevent network overload.es
dc.description.sponsorshipFunding. Grant [ PID2022-136468OB-I00 ] funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”.es
dc.format.extent17es
dc.identifier.bibliographicCitationViadero-Monasterio, F.; García, J.; Meléndez-Useros, M.; Jiménez-Salas, M.; Boada, B.L.; López Boada, M.J. Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture. Machines 2024, 12, 53 (17p.). https://doi.org/10.3390/machines12010053es
dc.identifier.doihttps://doi.org/10.3390/machines12010053
dc.identifier.publicationfirstpage1es
dc.identifier.publicationissue1, 52es
dc.identifier.publicationlastpage17es
dc.identifier.publicationtitleMachineses
dc.identifier.publicationvolume12es
dc.identifier.urihttps://hdl.handle.net/10016/39331
dc.identifier.uxxiAR/0000034018
dc.language.isoenges
dc.publisherMDPIes
dc.relation.projectIDGobierno de España. PID2022-136468OB-I00es
dc.rightsCopyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland.es
dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licensees
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaInformáticaes
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherRoll Angle Estimationes
dc.subject.otherSideslip Angle Estimationes
dc.subject.otherIotes
dc.subject.otherEvent-Triggeringes
dc.titleSimultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecturees
dc.type.hasVersionVoRes
dspace.entity.typePublication
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