Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter

Matías Uriarte; Yeiner Arias-Esquivel; Roberto Cárdenas; Matías Diaz; Oriol Gomis-Bellmunt; Felipe Herrera

doi:10.1109/concapan63470.2024.10933868

Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter

Matías Uriarte
, Yeiner Arias-Esquivel
, Roberto Cárdenas
, Matías Diaz
, Oriol Gomis-Bellmunt
, Felipe Herrera

Escuela de Ingeniería Mecatrónica

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This paper presents the validation of a Continuous Control Set Model Predictive Control (CCS-MPC) algorithm for a 27-cell Modular Multilevel Matrix Converter (M3C) operating between two three-phase power grids of different frequencies. The work focuses on implementing a Hardware-in-the-Loop (HIL) system specifically designed for this validation. The validation of the converter control strategy through HIL is performed using the dSPACE MicroLabBox and PLECS RT-Box platforms. The experimental tests encompass scenarios in both stationary and dynamic conditions. Notably, the algorithm's performance is assessed during instances of frequency variations within one of the power grids. The outcomes of these tests are notably encouraging, validating the effectiveness of the control strategy in maintaining the stable operation of the converter and adapting to variations in operating conditions.

Idioma original	Inglés
Título de la publicación alojada	2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII)
Editorial	Institute of Electrical and Electronics Engineers Inc.
Edición	2024
ISBN (versión digital)	9798350366723
DOI	https://doi.org/10.1109/concapan63470.2024.10933868 https://doi.org/10.1109/CONCAPAN63470.2024.10933868
Estado	Publicada - 27 nov 2024
Evento	42nd IEEE Central America and Panama Convention, CONCAPAN 2024 - San Jose, Costa Rica Duración: 27 nov 2024 → 29 nov 2024

Conferencia

Conferencia	42nd IEEE Central America and Panama Convention, CONCAPAN 2024
País/Territorio	Costa Rica
Ciudad	San Jose
Período	27/11/24 → 29/11/24

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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Mejora en la Flexibilidad de Control de Convertidores Modulares Multinivel utilizando Control Predictivo de Conjunto Continuo
Arias Esquivel, Y. (Persona académica coordinadora institucional), Salazar García, C. (Persona académico colaboradora institucional), Cardenas-Dobson, R. (Persona académica colaboradora externo ) & Diaz, M. (Persona académica colaboradora externo )
1/01/24 → 31/12/25
Proyecto: Proyectos Investigación Con fondos internos › Investigación básica y aplicada

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Uriarte, M., Arias-Esquivel, Y., Cárdenas, R., Diaz, M., Gomis-Bellmunt, O., & Herrera, F. (2024). Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter. En 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII) (2024 ed.). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/concapan63470.2024.10933868, https://doi.org/10.1109/CONCAPAN63470.2024.10933868

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title = "Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter",

abstract = "This paper presents the validation of a Continuous Control Set Model Predictive Control (CCS-MPC) algorithm for a 27-cell Modular Multilevel Matrix Converter (M3C) operating between two three-phase power grids of different frequencies. The work focuses on implementing a Hardware-in-the-Loop (HIL) system specifically designed for this validation. The validation of the converter control strategy through HIL is performed using the dSPACE MicroLabBox and PLECS RT-Box platforms. The experimental tests encompass scenarios in both stationary and dynamic conditions. Notably, the algorithm's performance is assessed during instances of frequency variations within one of the power grids. The outcomes of these tests are notably encouraging, validating the effectiveness of the control strategy in maintaining the stable operation of the converter and adapting to variations in operating conditions.",

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Uriarte, M, Arias-Esquivel, Y, Cárdenas, R, Diaz, M, Gomis-Bellmunt, O & Herrera, F 2024, Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter. En 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII). 2024 ed., Institute of Electrical and Electronics Engineers Inc., 42nd IEEE Central America and Panama Convention, CONCAPAN 2024, San Jose, Costa Rica, 27/11/24. https://doi.org/10.1109/concapan63470.2024.10933868, https://doi.org/10.1109/CONCAPAN63470.2024.10933868

Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter. / Uriarte, Matías; Arias-Esquivel, Yeiner; Cárdenas, Roberto et al.
2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII). 2024. ed. Institute of Electrical and Electronics Engineers Inc., 2024.

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Uriarte, Matías

AU - Arias-Esquivel, Yeiner

AU - Cárdenas, Roberto

AU - Diaz, Matías

AU - Gomis-Bellmunt, Oriol

AU - Herrera, Felipe

PY - 2024/11/27

Y1 - 2024/11/27

N2 - This paper presents the validation of a Continuous Control Set Model Predictive Control (CCS-MPC) algorithm for a 27-cell Modular Multilevel Matrix Converter (M3C) operating between two three-phase power grids of different frequencies. The work focuses on implementing a Hardware-in-the-Loop (HIL) system specifically designed for this validation. The validation of the converter control strategy through HIL is performed using the dSPACE MicroLabBox and PLECS RT-Box platforms. The experimental tests encompass scenarios in both stationary and dynamic conditions. Notably, the algorithm's performance is assessed during instances of frequency variations within one of the power grids. The outcomes of these tests are notably encouraging, validating the effectiveness of the control strategy in maintaining the stable operation of the converter and adapting to variations in operating conditions.

AB - This paper presents the validation of a Continuous Control Set Model Predictive Control (CCS-MPC) algorithm for a 27-cell Modular Multilevel Matrix Converter (M3C) operating between two three-phase power grids of different frequencies. The work focuses on implementing a Hardware-in-the-Loop (HIL) system specifically designed for this validation. The validation of the converter control strategy through HIL is performed using the dSPACE MicroLabBox and PLECS RT-Box platforms. The experimental tests encompass scenarios in both stationary and dynamic conditions. Notably, the algorithm's performance is assessed during instances of frequency variations within one of the power grids. The outcomes of these tests are notably encouraging, validating the effectiveness of the control strategy in maintaining the stable operation of the converter and adapting to variations in operating conditions.

KW - hardware-in-the-loop

KW - model predictive control

KW - Modular multilevel matrix converter

KW - triple star bridge cell

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ER -

Uriarte M, Arias-Esquivel Y, Cárdenas R, Diaz M, Gomis-Bellmunt O, Herrera F. Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter. En 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII). 2024 ed. Institute of Electrical and Electronics Engineers Inc. 2024 doi: 10.1109/concapan63470.2024.10933868, 10.1109/CONCAPAN63470.2024.10933868

Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter

Resumen

Conferencia

ODS de las Naciones Unidas

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Proyectos

Mejora en la Flexibilidad de Control de Convertidores Modulares Multinivel utilizando Control Predictivo de Conjunto Continuo

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