Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters

Three-level neutral-point-clamped (NPC) converter is widely used in energy conversion systems due to its good properties for high-power systems presenting output waveforms with reduced harmonic distortion. To obtain better system performance, an integral sliding-mode control (ISMC)-based direct powe...

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Autores: Lin, Hao, León Galván, José Ignacio, Luo, Wensheng, Márquez Alcaide, Abraham, Liu, Jianxing, Vázquez Pérez, Sergio, García Franquelo, Leopoldo
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/99155
Acesso em linha:https://hdl.handle.net/11441/99155
https://doi.org/10.3390/en13010227
Access Level:acceso abierto
Palavra-chave:Three-level neutral-point-clamped converter
Integral sliding-mode control
Extended state observer
Radial basis function neural network
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spelling Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC ConvertersLin, HaoLeón Galván, José IgnacioLuo, WenshengMárquez Alcaide, AbrahamLiu, JianxingVázquez Pérez, SergioGarcía Franquelo, LeopoldoThree-level neutral-point-clamped converterIntegral sliding-mode controlExtended state observerRadial basis function neural networkThree-level neutral-point-clamped (NPC) converter is widely used in energy conversion systems due to its good properties for high-power systems presenting output waveforms with reduced harmonic distortion. To obtain better system performance, an integral sliding-mode control (ISMC)-based direct power control (DPC) strategy is proposed for NPC converters. The controller achieves three objectives. First, an extended state observer (ESO)-based ISMC strategy, to enforce the active and reactive power to their reference values, is applied in the power tracking loop. ESO is used to reduce the influence of parameter uncertainties. Next, in the voltage regulation loop, a radial basis function neural network (RBFNN)-based adaptive ISMC strategy is applied to regulate the DC-link voltage. RBFNN is used to estimate the load variation, which is considered as a disturbance, to improve the system disturbance rejection ability. An adaptive law is used in the controller to reduce the chattering of reference active power which can reduce the current harmonic distortion. Finally, a proportional-integral (PI) control strategy is applied in the voltage balancing loop to achieve voltage balance between two DC-link capacitors. Experimental results show the effectiveness and superiority of the proposed control strategy for the NPC power converter compared with PI-based DPC strategy.National Natural Science Foundation of China 61525303National Natural Science Foundation of China 41772377National Natural Science Foundation of China 61673130Laboratorio Estatal Clave de Robótica y Sistema (HIT) SKLRS201806BMDPIIngeniería ElectrónicaNational Natural Science Foundation of ChinaLaboratorio Estatal Clave de Robótica y Sistema (HIT)2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/99155https://doi.org/10.3390/en13010227reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 13 (1), Article number 227.615253034177237761673130SKLRS201806Bhttps://doi.org/10.3390/en13010227info:eu-repo/semantics/openAccessoai:idus.us.es:11441/991552026-06-17T12:51:07Z
dc.title.none.fl_str_mv Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
title Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
spellingShingle Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
Lin, Hao
Three-level neutral-point-clamped converter
Integral sliding-mode control
Extended state observer
Radial basis function neural network
title_short Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
title_full Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
title_fullStr Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
title_full_unstemmed Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
title_sort Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters
dc.creator.none.fl_str_mv Lin, Hao
León Galván, José Ignacio
Luo, Wensheng
Márquez Alcaide, Abraham
Liu, Jianxing
Vázquez Pérez, Sergio
García Franquelo, Leopoldo
author Lin, Hao
author_facet Lin, Hao
León Galván, José Ignacio
Luo, Wensheng
Márquez Alcaide, Abraham
Liu, Jianxing
Vázquez Pérez, Sergio
García Franquelo, Leopoldo
author_role author
author2 León Galván, José Ignacio
Luo, Wensheng
Márquez Alcaide, Abraham
Liu, Jianxing
Vázquez Pérez, Sergio
García Franquelo, Leopoldo
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería Electrónica
National Natural Science Foundation of China
Laboratorio Estatal Clave de Robótica y Sistema (HIT)
dc.subject.none.fl_str_mv Three-level neutral-point-clamped converter
Integral sliding-mode control
Extended state observer
Radial basis function neural network
topic Three-level neutral-point-clamped converter
Integral sliding-mode control
Extended state observer
Radial basis function neural network
description Three-level neutral-point-clamped (NPC) converter is widely used in energy conversion systems due to its good properties for high-power systems presenting output waveforms with reduced harmonic distortion. To obtain better system performance, an integral sliding-mode control (ISMC)-based direct power control (DPC) strategy is proposed for NPC converters. The controller achieves three objectives. First, an extended state observer (ESO)-based ISMC strategy, to enforce the active and reactive power to their reference values, is applied in the power tracking loop. ESO is used to reduce the influence of parameter uncertainties. Next, in the voltage regulation loop, a radial basis function neural network (RBFNN)-based adaptive ISMC strategy is applied to regulate the DC-link voltage. RBFNN is used to estimate the load variation, which is considered as a disturbance, to improve the system disturbance rejection ability. An adaptive law is used in the controller to reduce the chattering of reference active power which can reduce the current harmonic distortion. Finally, a proportional-integral (PI) control strategy is applied in the voltage balancing loop to achieve voltage balance between two DC-link capacitors. Experimental results show the effectiveness and superiority of the proposed control strategy for the NPC power converter compared with PI-based DPC strategy.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/99155
https://doi.org/10.3390/en13010227
url https://hdl.handle.net/11441/99155
https://doi.org/10.3390/en13010227
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 13 (1), Article number 227.
61525303
41772377
61673130
SKLRS201806B
https://doi.org/10.3390/en13010227
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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