Online learning artificial neural network controller for a buck converter

Jazmin Ramirez-Hernandez; Oswaldo Ulises Juarez-Sandoval; Kevin Cano-Pulido; Juan Francisco Marquez-Rubio; Nancy Mondragon-Escamilla

doi:10.1109/ROPEC48299.2019.9057071

Online learning artificial neural network controller for a buck converter

Jazmin Ramirez-Hernandez, Oswaldo Ulises Juarez-Sandoval, Kevin Cano-Pulido, Juan Francisco Marquez-Rubio, Nancy Mondragon-Escamilla

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

9 Scopus citations

Abstract

This paper presents an Online Learning Artificial Neural Network Controller (OLANNC) for a DC-DC Buck converter. The proposed control scheme uses a Perceptron Online Learning algorithm to stabilize the output voltage. The OLANNC obtains the appropriate duty cycle of the PWM signal that determines the switching operation of the semiconductor device. To verify the effectiveness of the proposed method, a simulation results are presented with some operations such as reference voltage variations. Comparison with a typical controller is also presented to denote it advantages.

Original language	English
Title of host publication	2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728128986
DOIs	https://doi.org/10.1109/ROPEC48299.2019.9057071
State	Published - Nov 2019
Event	2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019 - Ixtapa, Guerrero, Mexico Duration: 13 Nov 2019 → 15 Nov 2019

Publication series

Name	2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019

Conference

Conference	2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019
Country/Territory	Mexico
City	Ixtapa, Guerrero
Period	13/11/19 → 15/11/19

Keywords

Artificial Neural Network
Buck converter
PWM
Power converter

UN SDGs

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

Access to Document

10.1109/ROPEC48299.2019.9057071

Cite this

Ramirez-Hernandez, J., Juarez-Sandoval, O. U., Cano-Pulido, K., Marquez-Rubio, J. F., & Mondragon-Escamilla, N. (2019). Online learning artificial neural network controller for a buck converter. In 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019 Article 9057071 (2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC48299.2019.9057071

Ramirez-Hernandez, Jazmin ; Juarez-Sandoval, Oswaldo Ulises ; Cano-Pulido, Kevin et al. / Online learning artificial neural network controller for a buck converter. 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019).

@inproceedings{c68a85f706e348e89ee9fbbdfbc18028,

title = "Online learning artificial neural network controller for a buck converter",

abstract = "This paper presents an Online Learning Artificial Neural Network Controller (OLANNC) for a DC-DC Buck converter. The proposed control scheme uses a Perceptron Online Learning algorithm to stabilize the output voltage. The OLANNC obtains the appropriate duty cycle of the PWM signal that determines the switching operation of the semiconductor device. To verify the effectiveness of the proposed method, a simulation results are presented with some operations such as reference voltage variations. Comparison with a typical controller is also presented to denote it advantages.",

keywords = "Artificial Neural Network, Buck converter, PWM, Power converter",

author = "Jazmin Ramirez-Hernandez and Juarez-Sandoval, {Oswaldo Ulises} and Kevin Cano-Pulido and Marquez-Rubio, {Juan Francisco} and Nancy Mondragon-Escamilla",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019 ; Conference date: 13-11-2019 Through 15-11-2019",

year = "2019",

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doi = "10.1109/ROPEC48299.2019.9057071",

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

series = "2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Ramirez-Hernandez, J , Juarez-Sandoval, OU , Cano-Pulido, K , Marquez-Rubio, JF & Mondragon-Escamilla, N 2019, Online learning artificial neural network controller for a buck converter. in 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019., 9057071, 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019, Ixtapa, Guerrero, Mexico, 13/11/19. https://doi.org/10.1109/ROPEC48299.2019.9057071

Online learning artificial neural network controller for a buck converter. / Ramirez-Hernandez, Jazmin ; Juarez-Sandoval, Oswaldo Ulises ; Cano-Pulido, Kevin et al.
2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9057071 (2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019).

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

TY - GEN

T1 - Online learning artificial neural network controller for a buck converter

AU - Ramirez-Hernandez, Jazmin

AU - Juarez-Sandoval, Oswaldo Ulises

AU - Cano-Pulido, Kevin

AU - Marquez-Rubio, Juan Francisco

AU - Mondragon-Escamilla, Nancy

PY - 2019/11

Y1 - 2019/11

N2 - This paper presents an Online Learning Artificial Neural Network Controller (OLANNC) for a DC-DC Buck converter. The proposed control scheme uses a Perceptron Online Learning algorithm to stabilize the output voltage. The OLANNC obtains the appropriate duty cycle of the PWM signal that determines the switching operation of the semiconductor device. To verify the effectiveness of the proposed method, a simulation results are presented with some operations such as reference voltage variations. Comparison with a typical controller is also presented to denote it advantages.

AB - This paper presents an Online Learning Artificial Neural Network Controller (OLANNC) for a DC-DC Buck converter. The proposed control scheme uses a Perceptron Online Learning algorithm to stabilize the output voltage. The OLANNC obtains the appropriate duty cycle of the PWM signal that determines the switching operation of the semiconductor device. To verify the effectiveness of the proposed method, a simulation results are presented with some operations such as reference voltage variations. Comparison with a typical controller is also presented to denote it advantages.

KW - Artificial Neural Network

KW - Buck converter

KW - PWM

KW - Power converter

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U2 - 10.1109/ROPEC48299.2019.9057071

DO - 10.1109/ROPEC48299.2019.9057071

M3 - Contribución a la conferencia

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BT - 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019

Y2 - 13 November 2019 through 15 November 2019

ER -

Ramirez-Hernandez J , Juarez-Sandoval OU , Cano-Pulido K , Marquez-Rubio JF , Mondragon-Escamilla N. Online learning artificial neural network controller for a buck converter. In 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9057071. (2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019). doi: 10.1109/ROPEC48299.2019.9057071

Online learning artificial neural network controller for a buck converter

Abstract

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Keywords

UN SDGs

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