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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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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143354

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Título: Control de Tracción para un Vehículo Eléctrico basado en Observadores no Lineales
Otro titulo: Traction control of an electric vehicle based on nonlinear observers
Autor: Aligia, Diego A. Magallán, Guillermo A. De Angelo, Cristian H.
Fecha difusión:
Resumen:
[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. ...[+]


[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. ...[+]
Palabras clave: Traction control , Road condition , Friction coefficient , Brush tyre model , Feedback linearization , Nolinear Luenberger observer , Control de tracción , Condición de suelo , Coeficiente de rozamiento , Modelo de neumático brush , Linealización exacta por realimentación , Observador no lineal de Luenberger
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.4995/riai.2017.8736
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/riai.2017.8736
Código del Proyecto:
info:eu-repo/grantAgreement/FonCyT//PICT-2014-2760/
info:eu-repo/grantAgreement/CONICET//PIP 11220130100517CO/
Agradecimientos:
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).
Tipo: Artículo

References

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