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Identification of Dynamic Parameters in Low Mobility Mechanical Systems: application to Short Arm (SLA) Vehicle Suspension

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Identification of Dynamic Parameters in Low Mobility Mechanical Systems: application to Short Arm (SLA) Vehicle Suspension

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dc.contributor.author Valero Chuliá, Francisco José es_ES
dc.contributor.author Iriarte, Xabier es_ES
dc.contributor.author Mata Amela, Vicente es_ES
dc.contributor.author Ros, Javier es_ES
dc.date.accessioned 2018-10-14T04:32:28Z
dc.date.available 2018-10-14T04:32:28Z
dc.date.issued 2013 es_ES
dc.identifier.issn 0042-3114 es_ES
dc.identifier.uri http://hdl.handle.net/10251/110330
dc.description.abstract [EN] The identification of dynamic parameters in low-mobility mechanical systems is addressed and applied to short long arm (SLA) front car suspension. The main goal of the identification technique is to obtain, from experimental measurements, the values of those dynamic parameters (masses, location of the centre of masses, terms of the inertial matrix of the links, constant friction terms and elastic and viscous damping constant terms) that affect the dynamic behaviour of the system. Moreover, additional but important information that could be obtained from the procedure is related to the weight of those terms inside the dynamics of the system, so that simplified dynamic models based on relevant and well-identified parameters can be established. First, a systematic procedure will be presented for obtaining the equations of motion in a linear form with regard to the dynamic parameters to be identified. The main drawbacks related to the identification of parameters in low-mobility mechanisms will be pointed out, mainly the difficulty of determining a natural cutoff point into the singular values of the observation matrix which allows us to determine the true dimension of the set of base parameters and of obtaining an observation matrix well conditioned from the numerical point of view that allows an identification in the presence of measurement error. The procedure proposed for overcoming these problems will be based on the development of symbolic relationships among the physical parameters in order to determine the true rank of the observation matrix and on the consideration of a reduced subset of the base parameters set. These relevant parameters will be selected according to their influence on the dynamic behaviour of the mechanical system. A virtual benchmark will be used for testing purposes. The dynamic models based on relevant parameters show a better adjustment than the complete ones, mainly when the level of noise in the measurements used in the identification process increases. es_ES
dc.description.sponsorship This paper has been possible owing to the funding from the Science and Innovation Ministry of the Spanish Government by means of the Research and Technological Development Project DPI2010-20814-C02-01 (IDEMOV). en_EN
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation MINISTERIO DE ECONOMIA INDUSTRIA Y COMPETITIVIDAD /DPI2010-20814-C02-01 es_ES
dc.relation.ispartof Vehicle System Dynamics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Dynamic parameter identification es_ES
dc.subject Symbolic es_ES
dc.subject Relevant dynamic parameters es_ES
dc.subject Vehicle dynamics es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title Identification of Dynamic Parameters in Low Mobility Mechanical Systems: application to Short Arm (SLA) Vehicle Suspension es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00423114.2013.792940 es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.description.bibliographicCitation Valero Chuliá, FJ.; Iriarte, X.; Mata Amela, V.; Ros, J. (2013). Identification of Dynamic Parameters in Low Mobility Mechanical Systems: application to Short Arm (SLA) Vehicle Suspension. Vehicle System Dynamics. 51(8):1242-1264. doi:10.1080/00423114.2013.792940 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/00423114.2013.792940 es_ES
dc.description.upvformatpinicio 1242 es_ES
dc.description.upvformatpfin 1264 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 51 es_ES
dc.description.issue 8 es_ES
dc.relation.pasarela 251569 es_ES
dc.contributor.funder MINISTERIO DE ECONOMIA INDUSTRIA Y COMPETITIVIDAD es_ES


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