Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive

The focus of this thesis is to study how to implement a high accuracy Gopinath-Style flux observer for the IPMSM of a DBDTFC drive for traction applications at Audi AG. The current implementation had a steady state error of and was known to be suffering of model transition distortion between the CM...

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Detalles Bibliográficos
Autor: Pantoja, Gerardo Andres
Tipo de recurso: tesis de maestría
Fecha de publicación:2020
País:España
Institución:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:inglés
OAI Identifier:oai:digibuo.uniovi.es:10651/56229
Acceso en línea:http://hdl.handle.net/10651/56229
Access Level:acceso abierto
Palabra clave:Gopinath-style Flux Observer
Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive DB-DTFC
Iron Loses
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spelling Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control DrivePantoja, Gerardo AndresGopinath-style Flux ObserverGopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive DB-DTFCGopinath-style Flux ObserverIron LosesThe focus of this thesis is to study how to implement a high accuracy Gopinath-Style flux observer for the IPMSM of a DBDTFC drive for traction applications at Audi AG. The current implementation had a steady state error of and was known to be suffering of model transition distortion between the CM and the VM. Therefore, resulting in an undesired SS overshooting the torque estimation. The SOA average error is of 4.2%. This thesis proposes improvements for the model transition by means of the implementation of a Frequency Response Correction factor for the Observer. A more complex machine model for the IPMSM including Iron Losses. For which the Iron Loss resistances for no load tests as well as for a full torque speed plane were mapped. Moreover, the effects are evaluated via a steady state model of the machine. And finally, a decoupling through a new magnetics model is proposed and tested. Open loop experimental tests show that the implementation of the FRC observer as well as the introduction of an Iron Losses Model for the current, enhance the overall performance of the Flux-Observer. The asymmetry in the flux observer estimation between motoring and generating conditions is reduced. And a closer match for the torque estimation is produced with a maximum error of around 1.3% at the maximum speed. The new average estimation error is of 1.9%AUDI AG.Saur, MichaelGarcía Fernández, Pablo20202020-07-29master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesishttp://hdl.handle.net/10651/56229reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:digibuo.uniovi.es:10651/562292026-06-07T06:38:51Z
dc.title.none.fl_str_mv Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
title Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
spellingShingle Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
Pantoja, Gerardo Andres
Gopinath-style Flux Observer
Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive DB-DTFC
Gopinath-style Flux Observer
Iron Loses
title_short Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
title_full Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
title_fullStr Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
title_full_unstemmed Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
title_sort Improving the Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive
dc.creator.none.fl_str_mv Pantoja, Gerardo Andres
author Pantoja, Gerardo Andres
author_facet Pantoja, Gerardo Andres
author_role author
dc.contributor.none.fl_str_mv Saur, Michael
García Fernández, Pablo
dc.subject.none.fl_str_mv Gopinath-style Flux Observer
Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive DB-DTFC
Gopinath-style Flux Observer
Iron Loses
topic Gopinath-style Flux Observer
Gopinath-style Flux Observer for a Deadbeat Direct Torque and Flux Control Drive DB-DTFC
Gopinath-style Flux Observer
Iron Loses
description The focus of this thesis is to study how to implement a high accuracy Gopinath-Style flux observer for the IPMSM of a DBDTFC drive for traction applications at Audi AG. The current implementation had a steady state error of and was known to be suffering of model transition distortion between the CM and the VM. Therefore, resulting in an undesired SS overshooting the torque estimation. The SOA average error is of 4.2%. This thesis proposes improvements for the model transition by means of the implementation of a Frequency Response Correction factor for the Observer. A more complex machine model for the IPMSM including Iron Losses. For which the Iron Loss resistances for no load tests as well as for a full torque speed plane were mapped. Moreover, the effects are evaluated via a steady state model of the machine. And finally, a decoupling through a new magnetics model is proposed and tested. Open loop experimental tests show that the implementation of the FRC observer as well as the introduction of an Iron Losses Model for the current, enhance the overall performance of the Flux-Observer. The asymmetry in the flux observer estimation between motoring and generating conditions is reduced. And a closer match for the torque estimation is produced with a maximum error of around 1.3% at the maximum speed. The new average estimation error is of 1.9%
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-07-29
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10651/56229
url http://hdl.handle.net/10651/56229
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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