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A robust observer based on H∞ filtering with parameter uncertainties combined with Neural Networks for estimation of vehicle roll angle

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dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: MECATRAN: Mecánica Experimental, Cálculo y Transporteses
dc.contributor.authorLópez Boada, Beatriz
dc.contributor.authorLópez Boada, María Jesús
dc.contributor.authorDíaz López, Vicente
dc.contributor.authorVargas Meléndez, Leandro José
dc.date.accessioned2017-10-02T08:36:05Z
dc.date.available2020-01-18T00:00:05Z
dc.date.issued2018-01-18
dc.description.abstractNowadays, one of the main objectives in road transport is to decrease the number of accident victims. Rollover accidents caused nearly 33% of all deaths from passenger vehicle crashes. Roll Stability Control (RSC) systems prevent vehicles from untripped rollover accidents. The lateral load transfer is the main parameter which is taken into account in the RSC systems. This parameter is related to the roll angle, which can be directly measured from a dual-antenna GPS. Nevertheless, this is a costly technique. For this reason, roll angle has to be estimated. In this paper, a novel observer based on H∞ filtering in combination with a neural network (NN) for the vehicle roll angle estimation is proposed. The design of this observer is based on four main criteria: to use a simplified vehicle model, to use signals of sensors which are installed onboard in current vehicles, to consider the inaccuracy in the system model and to attenuate the effect of the external disturbances. Experimental results show the effectiveness of the proposed observer.en
dc.description.sponsorshipThis work is supported by the Spanish Government through the Project TRA2013-48030-C2-1-R, which is gratefully acknowledged.en
dc.format.extent13
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationMechanical Systems and Signal Processing, vol. 99 (2018), pp. 611-623en
dc.identifier.doihttps://doi.org/10.1016/j.ymssp.2017.06.044
dc.identifier.issn0888-3270
dc.identifier.publicationfirstpage611
dc.identifier.publicationlastpage623
dc.identifier.publicationtitleMechanical systems and signal processingen
dc.identifier.publicationvolume99
dc.identifier.urihttps://hdl.handle.net/10016/25343
dc.identifier.uxxiAR/0000020348
dc.language.isoeng
dc.publisherElsevier Ltd.
dc.relation.projectIDGobierno de España. TRA2013-48030-C2-1-R
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaen
dc.rights© 2017 Elsevier Ltd.
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherVehicle dynamicsen
dc.subject.otherRoll angle estimationen
dc.subject.otherNNen
dc.subject.otherRobust observeren
dc.subject.otherH∞ observeren
dc.titleA robust observer based on H∞ filtering with parameter uncertainties combined with Neural Networks for estimation of vehicle roll angleen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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