Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation

Detalhes bibliográficos
Autor(a) principal: Hadla, Hazem
Data de Publicação: 2017
Outros Autores: Cruz, Sérgio, Varatharajan, Anantaram
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.19/6153
Resumo: This paper proposes a new predictive torque control algorithm for synchronous reluctance motor drives with the ability to track online the maximum torque per ampere trajectory. An additional term is included in the cost function of the predictive control algorithm which uses an adaptive weighting factor to improve the dynamic behavior of the drive system. As the derivative of torque with respect to the current angle depends on the values of the apparent and incremental inductances, the apparent inductances are estimated online based on the values of the flux linkage and current components while the incremental inductances are estimated using a recursive least squares (RLS) algorithm. Experimental results validate the proposed control algorithm and demonstrate a remarkable performance both in steady-state and during transients, as well as a reduction of the current ripple and audible noise.
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spelling Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances EstimationSynchronous reluctance motor drivesModel preditive modelMaximum torque per ampere traectoryParameter estimationThis paper proposes a new predictive torque control algorithm for synchronous reluctance motor drives with the ability to track online the maximum torque per ampere trajectory. An additional term is included in the cost function of the predictive control algorithm which uses an adaptive weighting factor to improve the dynamic behavior of the drive system. As the derivative of torque with respect to the current angle depends on the values of the apparent and incremental inductances, the apparent inductances are estimated online based on the values of the flux linkage and current components while the incremental inductances are estimated using a recursive least squares (RLS) algorithm. Experimental results validate the proposed control algorithm and demonstrate a remarkable performance both in steady-state and during transients, as well as a reduction of the current ripple and audible noise.IEEERepositório Científico do Instituto Politécnico de ViseuHadla, HazemCruz, SérgioVaratharajan, Anantaram2020-01-28T14:10:40Z2017-05-242017-05-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.19/6153eng4978-1-5090-4281-410.1109/IEMDC.2017.8002104info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-16T15:28:24Zoai:repositorio.ipv.pt:10400.19/6153Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:44:07.798088Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
title Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
spellingShingle Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
Hadla, Hazem
Synchronous reluctance motor drives
Model preditive model
Maximum torque per ampere traectory
Parameter estimation
title_short Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
title_full Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
title_fullStr Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
title_full_unstemmed Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
title_sort Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation
author Hadla, Hazem
author_facet Hadla, Hazem
Cruz, Sérgio
Varatharajan, Anantaram
author_role author
author2 Cruz, Sérgio
Varatharajan, Anantaram
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Viseu
dc.contributor.author.fl_str_mv Hadla, Hazem
Cruz, Sérgio
Varatharajan, Anantaram
dc.subject.por.fl_str_mv Synchronous reluctance motor drives
Model preditive model
Maximum torque per ampere traectory
Parameter estimation
topic Synchronous reluctance motor drives
Model preditive model
Maximum torque per ampere traectory
Parameter estimation
description This paper proposes a new predictive torque control algorithm for synchronous reluctance motor drives with the ability to track online the maximum torque per ampere trajectory. An additional term is included in the cost function of the predictive control algorithm which uses an adaptive weighting factor to improve the dynamic behavior of the drive system. As the derivative of torque with respect to the current angle depends on the values of the apparent and incremental inductances, the apparent inductances are estimated online based on the values of the flux linkage and current components while the incremental inductances are estimated using a recursive least squares (RLS) algorithm. Experimental results validate the proposed control algorithm and demonstrate a remarkable performance both in steady-state and during transients, as well as a reduction of the current ripple and audible noise.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-24
2017-05-24T00:00:00Z
2020-01-28T14:10:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.19/6153
url http://hdl.handle.net/10400.19/6153
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 4
978-1-5090-4281-4
10.1109/IEMDC.2017.8002104
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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