Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model

Marcos Yair Bote-Vazquez; Jazmin Ramirez-Hernandez; Leobardo Hernandez-Gonzalez; Eric David Delgado-Pina; Oswaldo Ulises Juarez-Sandoval

doi:10.1109/ROPEC55836.2022.10018649

Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model

Marcos Yair Bote-Vazquez, Jazmin Ramirez-Hernandez, Leobardo Hernandez-Gonzalez, Eric David Delgado-Pina, Oswaldo Ulises Juarez-Sandoval

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

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

3 Scopus citations

Abstract

This paper proposes an ANN-based controller in a DC-DC converter to regulate the output voltage. The learning process to determine the optimal switching conditions in the converter is implemented by using a data set of model predictive control operation. This process is developed in Matlab-Simulink and once the ANN is fine-tuned, it is implemented in a microcontroller to regulate the output voltage in a Buck converter prototype. The proposed control algorithm is simple and also reduces the computational cost in the final implementation.

Original language	English
Title of host publication	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665458924
DOIs	https://doi.org/10.1109/ROPEC55836.2022.10018649
State	Published - 2022
Event	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 - Ixtapa, Mexico Duration: 9 Nov 2022 → 11 Nov 2022

Publication series

Name	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

Conference

Conference	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
Country/Territory	Mexico
City	Ixtapa
Period	9/11/22 → 11/11/22

Keywords

Artificial Neural Network
Buck converter
Predictive Control
Voltage regulation

UN SDGs

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

Access to Document

10.1109/ROPEC55836.2022.10018649

Cite this

Bote-Vazquez, M. Y., Ramirez-Hernandez, J., Hernandez-Gonzalez, L., Delgado-Pina, E. D., & Juarez-Sandoval, O. U. (2022). Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model. In 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC55836.2022.10018649

Bote-Vazquez, Marcos Yair ; Ramirez-Hernandez, Jazmin ; Hernandez-Gonzalez, Leobardo et al. / Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model. 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022).

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title = "Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model",

abstract = "This paper proposes an ANN-based controller in a DC-DC converter to regulate the output voltage. The learning process to determine the optimal switching conditions in the converter is implemented by using a data set of model predictive control operation. This process is developed in Matlab-Simulink and once the ANN is fine-tuned, it is implemented in a microcontroller to regulate the output voltage in a Buck converter prototype. The proposed control algorithm is simple and also reduces the computational cost in the final implementation.",

keywords = "Artificial Neural Network, Buck converter, Predictive Control, Voltage regulation",

author = "Bote-Vazquez, {Marcos Yair} and Jazmin Ramirez-Hernandez and Leobardo Hernandez-Gonzalez and Delgado-Pina, {Eric David} and Juarez-Sandoval, {Oswaldo Ulises}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 ; Conference date: 09-11-2022 Through 11-11-2022",

year = "2022",

doi = "10.1109/ROPEC55836.2022.10018649",

language = "Ingl{\'e}s",

series = "2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022",

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Bote-Vazquez, MY, Ramirez-Hernandez, J, Hernandez-Gonzalez, L, Delgado-Pina, ED & Juarez-Sandoval, OU 2022, Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model. in 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022, Ixtapa, Mexico, 9/11/22. https://doi.org/10.1109/ROPEC55836.2022.10018649

Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model. / Bote-Vazquez, Marcos Yair; Ramirez-Hernandez, Jazmin; Hernandez-Gonzalez, Leobardo et al.
2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022).

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

TY - GEN

T1 - Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model

AU - Bote-Vazquez, Marcos Yair

AU - Ramirez-Hernandez, Jazmin

AU - Hernandez-Gonzalez, Leobardo

AU - Delgado-Pina, Eric David

AU - Juarez-Sandoval, Oswaldo Ulises

PY - 2022

Y1 - 2022

N2 - This paper proposes an ANN-based controller in a DC-DC converter to regulate the output voltage. The learning process to determine the optimal switching conditions in the converter is implemented by using a data set of model predictive control operation. This process is developed in Matlab-Simulink and once the ANN is fine-tuned, it is implemented in a microcontroller to regulate the output voltage in a Buck converter prototype. The proposed control algorithm is simple and also reduces the computational cost in the final implementation.

AB - This paper proposes an ANN-based controller in a DC-DC converter to regulate the output voltage. The learning process to determine the optimal switching conditions in the converter is implemented by using a data set of model predictive control operation. This process is developed in Matlab-Simulink and once the ANN is fine-tuned, it is implemented in a microcontroller to regulate the output voltage in a Buck converter prototype. The proposed control algorithm is simple and also reduces the computational cost in the final implementation.

KW - Artificial Neural Network

KW - Buck converter

KW - Predictive Control

KW - Voltage regulation

UR - http://www.scopus.com/inward/record.url?scp=85147548194&partnerID=8YFLogxK

U2 - 10.1109/ROPEC55836.2022.10018649

DO - 10.1109/ROPEC55836.2022.10018649

M3 - Contribución a la conferencia

AN - SCOPUS:85147548194

T3 - 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

BT - 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

Y2 - 9 November 2022 through 11 November 2022

ER -

Bote-Vazquez MY, Ramirez-Hernandez J, Hernandez-Gonzalez L, Delgado-Pina ED, Juarez-Sandoval OU. Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model. In 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022). doi: 10.1109/ROPEC55836.2022.10018649

Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model

Abstract

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Keywords

UN SDGs

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