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Control de Tracción para un Vehículo Eléctrico basado en Observadores no Lineales

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Control de Tracción para un Vehículo Eléctrico basado en Observadores no Lineales

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dc.contributor.author Aligia, Diego A. es_ES
dc.contributor.author Magallán, Guillermo A. es_ES
dc.contributor.author De Angelo, Cristian H. es_ES
dc.date.accessioned 2020-05-15T06:28:51Z
dc.date.available 2020-05-15T06:28:51Z
dc.date.issued 2017-12-05
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/143354
dc.description.abstract [ES] En este trabajo se propone una estrategia de control de tracción para un vehículo eléctrico de cuatro ruedas, basada en observadores no lineales que permiten estimar la fuerza máxima que se puede transferir al suelo. El conocimiento de la fuerza máxima permite realizar un control del deslizamiento de los neumáticos de tracción, evitando que las ruedas patinen aún en superficies de baja adherencia. La estrategia propuesta permite además evitar que se produzca un momento de guiño no deseado en el vehículo cuando las condiciones de suelo a cada lado del mismo son diferentes. Con ello se logra mejorar la eficiencia y el control del vehículo, evitando posibles pérdidas de estabilidad que pueden resultar en riesgos para sus ocupantes. Tanto el observador como el control propuestos son diseñados en base a un modelo dinámico rotacional de la rueda y un modelo de fuerzas de brush. Se presentan resultados de simulación obtenidos empleando un modelo completo de vehículo sobre la plataforma Simulink/CarSim. es_ES
dc.description.abstract [EN] A traction control strategy for a four-wheel electric vehicle is proposed in this paper. The strategy is based on nonlinear observers which allows estimating the maximum force that can be transmitted to the road. Knowledge of the maximum force allows controlling the slip of the driving wheels, preventing the wheel’s slippage in low-grip surfaces. The proposed strategy also allows to avoid the undesired yaw moment in the vehicle which occurs when road conditions on either side of it are dierent. This improves the eciency and the control of the vehicle, avoiding possible losses of stability that can result in risks for its occupants. Both the proposed observer and the control strategy are designed based on a dynamic rotational model of the wheel and a brush force model. Simulation results are obtained based on a complete vehicle model on the Simulink/CarSim platform. es_ES
dc.description.sponsorship Este trabajo fue financiado por la Universidad Nacional de Rıo Cuarto, FONCyT-ANPCyT (Subsidio PICT-2014-2760) y CONICET (Subsidio PIP 2014-2016 GI 11220130100517CO). es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Traction control es_ES
dc.subject Road condition es_ES
dc.subject Friction coefficient es_ES
dc.subject Brush tyre model es_ES
dc.subject Feedback linearization es_ES
dc.subject Nolinear Luenberger observer es_ES
dc.subject Control de tracción es_ES
dc.subject Condición de suelo es_ES
dc.subject Coeficiente de rozamiento es_ES
dc.subject Modelo de neumático brush es_ES
dc.subject Linealización exacta por realimentación es_ES
dc.subject Observador no lineal de Luenberger es_ES
dc.title Control de Tracción para un Vehículo Eléctrico basado en Observadores no Lineales es_ES
dc.title.alternative Traction control of an electric vehicle based on nonlinear observers es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/riai.2017.8736
dc.relation.projectID info:eu-repo/grantAgreement/FonCyT//PICT-2014-2760/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CONICET//PIP 11220130100517CO/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Aligia, DA.; Magallán, GA.; De Angelo, CH. (2017). Control de Tracción para un Vehículo Eléctrico basado en Observadores no Lineales. Revista Iberoamericana de Automática e Informática industrial. 15(1):112-123. https://doi.org/10.4995/riai.2017.8736 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/riai.2017.8736 es_ES
dc.description.upvformatpinicio 112 es_ES
dc.description.upvformatpfin 123 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\8736 es_ES
dc.contributor.funder Universidad Nacional de Río Cuarto es_ES
dc.contributor.funder Fondo para la Investigación Científica y Tecnológica, Argentina es_ES
dc.contributor.funder Agencia Nacional de Promoción Científica y Tecnológica, Argentina es_ES
dc.contributor.funder Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina es_ES
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