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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Edition	2024
ISBN (Electronic)	9798350366723
DOIs	https://doi.org/10.1109/concapan63470.2024.10933868 https://doi.org/10.1109/CONCAPAN63470.2024.10933868
State	Published - 27 Nov 2024
Event	42nd IEEE Central America and Panama Convention, CONCAPAN 2024 - San Jose, Costa Rica Duration: 27 Nov 2024 → 29 Nov 2024

Conference

Conference	42nd IEEE Central America and Panama Convention, CONCAPAN 2024
Country/Territory	Costa Rica
City	San Jose
Period	27/11/24 → 29/11/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

hardware-in-the-loop
model predictive control
Modular multilevel matrix converter
triple star bridge cell

Access to Document

Cite this

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. In 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.",

keywords = "hardware-in-the-loop, model predictive control, Modular multilevel matrix converter, triple star bridge cell",

author = "Mat{\'i}as Uriarte and Yeiner Arias-Esquivel and Roberto C{\'a}rdenas and Mat{\'i}as Diaz and Oriol Gomis-Bellmunt and Felipe Herrera",

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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. in 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII). 2024 edn, 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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hardware-in-the-Loop Assessment for Continuous Set Model Predictive Control of a Modular Multilevel Matrix Converter

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

UR - https://www.scopus.com/pages/publications/105005865967

U2 - 10.1109/concapan63470.2024.10933868

DO - 10.1109/concapan63470.2024.10933868

M3 - Contribución a la conferencia

BT - 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 42nd IEEE Central America and Panama Convention, CONCAPAN 2024

Y2 - 27 November 2024 through 29 November 2024

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. In 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

Abstract

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

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

Cite this

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

Abstract

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Projects

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

Cite this