Robust estimation of vertical wheel forces via modulation-based sensor fusion

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Since its introduction by Shinbrot, numerous variations of parameter identification based on the Modulating Function Technique (MFT) have been developed. Recently researches have achieved to estimate also states through this method. In this thesis, the MFT is utilized for the estimation, of both par...

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Detalles Bibliográficos
Autor: Segura Rojas, Juan de Dios
Formato: tesis de maestría
Fecha de Publicación:2019
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Tesis
Lenguaje:inglés
OAI Identifier:oai:tesis.pucp.edu.pe:20.500.12404/15298
Enlace del recurso:http://hdl.handle.net/20.500.12404/15298
Nivel de acceso:acceso abierto
Materia:Modulación de frecuencia
Sensores
Automóviles--Dinámica
https://purl.org/pe-repo/ocde/ford#2.02.03
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dc.title.es_ES.fl_str_mv Robust estimation of vertical wheel forces via modulation-based sensor fusion
title Robust estimation of vertical wheel forces via modulation-based sensor fusion
spellingShingle Robust estimation of vertical wheel forces via modulation-based sensor fusion
Segura Rojas, Juan de Dios
Modulación de frecuencia
Sensores
Automóviles--Dinámica
https://purl.org/pe-repo/ocde/ford#2.02.03
title_short Robust estimation of vertical wheel forces via modulation-based sensor fusion
title_full Robust estimation of vertical wheel forces via modulation-based sensor fusion
title_fullStr Robust estimation of vertical wheel forces via modulation-based sensor fusion
title_full_unstemmed Robust estimation of vertical wheel forces via modulation-based sensor fusion
title_sort Robust estimation of vertical wheel forces via modulation-based sensor fusion
author Segura Rojas, Juan de Dios
author_facet Segura Rojas, Juan de Dios
author_role author
dc.contributor.advisor.fl_str_mv Reger, Johann
Pérez Zúñiga, Carlos Gustavo
dc.contributor.author.fl_str_mv Segura Rojas, Juan de Dios
dc.subject.es_ES.fl_str_mv Modulación de frecuencia
Sensores
Automóviles--Dinámica
topic Modulación de frecuencia
Sensores
Automóviles--Dinámica
https://purl.org/pe-repo/ocde/ford#2.02.03
dc.subject.ocde.es_ES.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.03
description Since its introduction by Shinbrot, numerous variations of parameter identification based on the Modulating Function Technique (MFT) have been developed. Recently researches have achieved to estimate also states through this method. In this thesis, the MFT is utilized for the estimation, of both parameters and states, that lead to observe the behaviour of the vertical suspension forces on a vehicle over time. In order to deal with the frequency disturbances present by perturbations as measurement noise and vibrations, the Fourier Modulating Function (FMF) as a kernel is proposed. Furthermore, this method is implemented with the concept of sensor fusion. The estimation that results after the implementation of an adaptive observer during the present work is going to show the robustness of the studied technique.
publishDate 2019
dc.date.accessioned.es_ES.fl_str_mv 2019-11-06T01:50:40Z
dc.date.available.none.fl_str_mv 2019-11-06T01:50:40Z
dc.date.available.es_ES.fl_str_mv 2019-11-06T01:50:40Z
dc.date.created.es_ES.fl_str_mv 2019
dc.date.issued.fl_str_mv 2019-11-05
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12404/15298
url http://hdl.handle.net/20.500.12404/15298
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.relation.ispartof.fl_str_mv SUNEDU
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/pe/
dc.publisher.es_ES.fl_str_mv Pontificia Universidad Católica del Perú
dc.publisher.country.es_ES.fl_str_mv PE
dc.source.none.fl_str_mv reponame:PUCP-Tesis
instname:Pontificia Universidad Católica del Perú
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instacron_str PUCP
institution PUCP
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spelling Reger, JohannPérez Zúñiga, Carlos GustavoSegura Rojas, Juan de Dios2019-11-06T01:50:40Z2019-11-06T01:50:40Z2019-11-06T01:50:40Z20192019-11-05http://hdl.handle.net/20.500.12404/15298Since its introduction by Shinbrot, numerous variations of parameter identification based on the Modulating Function Technique (MFT) have been developed. Recently researches have achieved to estimate also states through this method. In this thesis, the MFT is utilized for the estimation, of both parameters and states, that lead to observe the behaviour of the vertical suspension forces on a vehicle over time. In order to deal with the frequency disturbances present by perturbations as measurement noise and vibrations, the Fourier Modulating Function (FMF) as a kernel is proposed. Furthermore, this method is implemented with the concept of sensor fusion. The estimation that results after the implementation of an adaptive observer during the present work is going to show the robustness of the studied technique.Seit der Einführung der Modulationsfunktionstechnik (MFT) durch Shinbrot wurden zahlreiche Methoden zur Identifikation von Parametern entwickelt. Die aktuelle Forschung hat inzwischen auch das Schätzen von Zustandsgrößen mit dieser Technik erreicht. In dieser Masterarbeit wird die MFT für die Zustands- und Parameterschätzung verwendet um das dynamische Verhalten der vertikalen Federung an einem Fahrzeug zu beobachten. Um mit Störungen durch Messrauschen und Vibrationen umzugehen wird die Fouriermodulationsfunktion (FMF) als Kern vorgeschlagen. Des Weiteren wird die Methode mit dem Konzept der Sensorfusion implementiert. Das Ergebnis ist eine robuste Schätzung, wie in der vorliegenden Arbeit gezeigt wird.TesisengPontificia Universidad Católica del PerúPEinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/pe/Modulación de frecuenciaSensoresAutomóviles--Dinámicahttps://purl.org/pe-repo/ocde/ford#2.02.03Robust estimation of vertical wheel forces via modulation-based sensor fusioninfo:eu-repo/semantics/masterThesisreponame:PUCP-Tesisinstname:Pontificia Universidad Católica del Perúinstacron:PUCPSUNEDUMaestro en Ingeniería de Control y AutomatizaciónMaestríaPontificia Universidad Católica del Perú. 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Robust estimation of vertical wheel forces via modulation-based sensor fusion
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