TY - JOUR
T1 - Current Control of the Coupled-Inductor Buck-Boost DC-DC Switching Converter Using a Model Predictive Control Approach
AU - Restrepo, Carlos
AU - Garcia, Germain
AU - Flores-Bahamonde, Freddy
AU - Murillo-Yarce, Duberney
AU - Guzman, Johan I.
AU - Rivera, Marco
N1 - Funding Information:
Manuscript received September 15, 2019; revised January 1, 2020, March 11, 2020, and April 8, 2020; accepted April 29, 2020. Date of publication May 6, 2020; date of current version November 5, 2020. This work was supported in part by the Chilean Government through the Project CONICYT/FONDECYT under Grant 1191680, in part by the CONICYT-PFECHA/Doctorado Nacional/2019 under Grant 21191663, and in part by SERC Chile (CONICYT/FONDAP) under Grant 15110019. Recommended for publication by Associate Editor Xiaoling Xiong. (Corresponding author: Carlos Restrepo.) Carlos Restrepo and Marco Rivera are with the Department of Electromechanics and Energy Conversion, Universidad de Talca, Curicó 3340000, Chile (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2013 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/12
Y1 - 2020/12
N2 - Coupled-inductor buck-boost dc-dc switching converter has emerged as an alternative to manage power in several hybrid system architectures. This is due to features such as a noninverting voltage step-up and step-down characteristic, high efficiency, wide bandwidth, and the possibility to regulate its input or output currents as has been reported in previous works. All of them are based on a small-signal linearized model around an operating point. In this article, a model predictive control strategy is proposed to increase the operation point domain. The proposal consists in the use of the mathematical model of the system in discrete time to obtain the optimal switching state to be applied in the converter based on a cost function optimization, which simultaneously improves the current tracking and reduces the converter power losses. Experimental results validate the proposal demonstrating that this is a good alternative for the control of this kind of power converters.
AB - Coupled-inductor buck-boost dc-dc switching converter has emerged as an alternative to manage power in several hybrid system architectures. This is due to features such as a noninverting voltage step-up and step-down characteristic, high efficiency, wide bandwidth, and the possibility to regulate its input or output currents as has been reported in previous works. All of them are based on a small-signal linearized model around an operating point. In this article, a model predictive control strategy is proposed to increase the operation point domain. The proposal consists in the use of the mathematical model of the system in discrete time to obtain the optimal switching state to be applied in the converter based on a cost function optimization, which simultaneously improves the current tracking and reduces the converter power losses. Experimental results validate the proposal demonstrating that this is a good alternative for the control of this kind of power converters.
KW - Current control
KW - digital control
KW - model predictive control (MPC)
KW - noninverting buck-boost converter
UR - http://www.scopus.com/inward/record.url?scp=85096036055&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2020.2992622
DO - 10.1109/JESTPE.2020.2992622
M3 - Article
AN - SCOPUS:85096036055
SN - 2168-6777
VL - 8
SP - 3348
EP - 3360
JO - IEEE Journal of Emerging and Selected Topics in Power Electronics
JF - IEEE Journal of Emerging and Selected Topics in Power Electronics
IS - 4
M1 - 9086490
ER -