QFT robust controller for Buck-Boost DC-DC converters in solar PV applications

Rafael A. Nunez; Omar Pinzon-Ardila

doi:10.1109/ANDESCON56260.2022.9989648

QFT robust controller for Buck-Boost DC-DC converters in solar PV applications

Rafael A. Nunez
, Omar Pinzon-Ardila

Technology development, mechatronics and agro industry

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

2 Scopus citations

Abstract

This paper shows the design of a controller using Quantitative Feedback Theory (QFT) and a modified Smith predictor. The controller is applied to a Buck-Boost DC-DC converter in continuous conduction mode that regulates the voltage supplied by a PV Generator, considering variations of load, voltage fluctuations of the solar panel, and parameters of the converter such as irradiation and temperature. Control strategies are designed using model-based techniques, using the Matlab® Toolbox Simscape for physical systems modeling. The QFT control scheme has been modified from a Smith Predictor structure for non-minimum phase systems, and the PID controller is designed using a two-degree-of-freedom structure. A comparative analysis of performance indices of the temporal response and the error are shown. The results obtained in simulation show the QFT controller has a better dynamic response and robustness, with a lower effort of the control signal when compared with a two-degree-of-freedom PID controller.

Original language	English
Title of host publication	2022 IEEE ANDESCON
Subtitle of host publication	Technology and Innovation for Andean Industry, ANDESCON 2022
Editors	Mariela Cerrada Lozada, Paul Sanmartiin Mendoza
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665488549
DOIs	https://doi.org/10.1109/ANDESCON56260.2022.9989648
State	Published - 2022
Event	11th IEEE Conference of the Andean Council, ANDESCON 2022 - Barranquilla, Colombia Duration: 16 Nov 2022 → 19 Nov 2022

Publication series

Name	2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022

Conference

Conference	11th IEEE Conference of the Andean Council, ANDESCON 2022
Country/Territory	Colombia
City	Barranquilla
Period	16/11/22 → 19/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

DC-DC Buck-Boost Converter
PV Generator
QFT Robust Control
Smith predictor

Types Minciencias

Scientific events with a public engagement component

Access to Document

10.1109/ANDESCON56260.2022.9989648

Cite this

Nunez, R. A., & Pinzon-Ardila, O. (2022). QFT robust controller for Buck-Boost DC-DC converters in solar PV applications. In M. C. Lozada, & P. S. Mendoza (Eds.), 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022 (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANDESCON56260.2022.9989648

Nunez, Rafael A. ; Pinzon-Ardila, Omar. / QFT robust controller for Buck-Boost DC-DC converters in solar PV applications. 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. editor / Mariela Cerrada Lozada ; Paul Sanmartiin Mendoza. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022).

@inproceedings{b3781fbfff1c45e3ab2751acfe832c2e,

title = "QFT robust controller for Buck-Boost DC-DC converters in solar PV applications",

abstract = "This paper shows the design of a controller using Quantitative Feedback Theory (QFT) and a modified Smith predictor. The controller is applied to a Buck-Boost DC-DC converter in continuous conduction mode that regulates the voltage supplied by a PV Generator, considering variations of load, voltage fluctuations of the solar panel, and parameters of the converter such as irradiation and temperature. Control strategies are designed using model-based techniques, using the Matlab{\textregistered} Toolbox Simscape for physical systems modeling. The QFT control scheme has been modified from a Smith Predictor structure for non-minimum phase systems, and the PID controller is designed using a two-degree-of-freedom structure. A comparative analysis of performance indices of the temporal response and the error are shown. The results obtained in simulation show the QFT controller has a better dynamic response and robustness, with a lower effort of the control signal when compared with a two-degree-of-freedom PID controller.",

keywords = "DC-DC Buck-Boost Converter, PV Generator, QFT Robust Control, Smith predictor",

author = "Nunez, \{Rafael A.\} and Omar Pinzon-Ardila",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 11th IEEE Conference of the Andean Council, ANDESCON 2022 ; Conference date: 16-11-2022 Through 19-11-2022",

year = "2022",

doi = "10.1109/ANDESCON56260.2022.9989648",

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

series = "2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022",

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

editor = "Lozada, \{Mariela Cerrada\} and Mendoza, \{Paul Sanmartiin\}",

booktitle = "2022 IEEE ANDESCON",

}

Nunez, RA & Pinzon-Ardila, O 2022, QFT robust controller for Buck-Boost DC-DC converters in solar PV applications. in MC Lozada & PS Mendoza (eds), 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022, Institute of Electrical and Electronics Engineers Inc., 11th IEEE Conference of the Andean Council, ANDESCON 2022, Barranquilla, Colombia, 16/11/22. https://doi.org/10.1109/ANDESCON56260.2022.9989648

QFT robust controller for Buck-Boost DC-DC converters in solar PV applications. / Nunez, Rafael A.; Pinzon-Ardila, Omar.
2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. ed. / Mariela Cerrada Lozada; Paul Sanmartiin Mendoza. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

TY - GEN

T1 - QFT robust controller for Buck-Boost DC-DC converters in solar PV applications

AU - Nunez, Rafael A.

AU - Pinzon-Ardila, Omar

PY - 2022

Y1 - 2022

N2 - This paper shows the design of a controller using Quantitative Feedback Theory (QFT) and a modified Smith predictor. The controller is applied to a Buck-Boost DC-DC converter in continuous conduction mode that regulates the voltage supplied by a PV Generator, considering variations of load, voltage fluctuations of the solar panel, and parameters of the converter such as irradiation and temperature. Control strategies are designed using model-based techniques, using the Matlab® Toolbox Simscape for physical systems modeling. The QFT control scheme has been modified from a Smith Predictor structure for non-minimum phase systems, and the PID controller is designed using a two-degree-of-freedom structure. A comparative analysis of performance indices of the temporal response and the error are shown. The results obtained in simulation show the QFT controller has a better dynamic response and robustness, with a lower effort of the control signal when compared with a two-degree-of-freedom PID controller.

AB - This paper shows the design of a controller using Quantitative Feedback Theory (QFT) and a modified Smith predictor. The controller is applied to a Buck-Boost DC-DC converter in continuous conduction mode that regulates the voltage supplied by a PV Generator, considering variations of load, voltage fluctuations of the solar panel, and parameters of the converter such as irradiation and temperature. Control strategies are designed using model-based techniques, using the Matlab® Toolbox Simscape for physical systems modeling. The QFT control scheme has been modified from a Smith Predictor structure for non-minimum phase systems, and the PID controller is designed using a two-degree-of-freedom structure. A comparative analysis of performance indices of the temporal response and the error are shown. The results obtained in simulation show the QFT controller has a better dynamic response and robustness, with a lower effort of the control signal when compared with a two-degree-of-freedom PID controller.

KW - DC-DC Buck-Boost Converter

KW - PV Generator

KW - QFT Robust Control

KW - Smith predictor

UR - https://www.scopus.com/pages/publications/85146436342

U2 - 10.1109/ANDESCON56260.2022.9989648

DO - 10.1109/ANDESCON56260.2022.9989648

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85146436342

T3 - 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022

BT - 2022 IEEE ANDESCON

A2 - Lozada, Mariela Cerrada

A2 - Mendoza, Paul Sanmartiin

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE Conference of the Andean Council, ANDESCON 2022

Y2 - 16 November 2022 through 19 November 2022

ER -

Nunez RA, Pinzon-Ardila O. QFT robust controller for Buck-Boost DC-DC converters in solar PV applications. In Lozada MC, Mendoza PS, editors, 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022). doi: 10.1109/ANDESCON56260.2022.9989648

QFT robust controller for Buck-Boost DC-DC converters in solar PV applications

Abstract

Publication series

Conference

Bibliographical note

Keywords

Types Minciencias

Access to Document

Fingerprint

Cite this