Current Sharing Control for Parallel DC-DC Buck Converters Based on Finite-Time Control Technique

Du, H, Jiang, C, Wen, G, Zhu, W and Cheng, Y 2019, 'Current Sharing Control for Parallel DC-DC Buck Converters Based on Finite-Time Control Technique', IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2186-2198.


Document type: Journal Article
Collection: Journal Articles

Title Current Sharing Control for Parallel DC-DC Buck Converters Based on Finite-Time Control Technique
Author(s) Du, H
Jiang, C
Wen, G
Zhu, W
Cheng, Y
Year 2019
Journal name IEEE Transactions on Industrial Informatics
Volume number 15
Issue number 4
Start page 2186
End page 2198
Total pages 13
Publisher IEEE
Abstract The problem of current sharing controller for parallel dc-dc buck converter system is investigated in this paper. Specifically, to achieve the goal of sharing control and improve the systems dynamic performance, a new finite-time current sharing control algorithm is designed and employed. Under the proposed control algorithm, rigorous proofs show that not only the output voltage of the converter system can reach the desired reference voltage in a finite time, but also the objective of current sharing can be achieved within almost the same time. In addition, when the external load is time-varying and unknown, a finite-time load estimator is given to handle the load variation, and an adaptive finite-time current sharing control algorithm is subsequently developed. Experimental results are presented to verify the effectiveness of the proposed method, and to show its advantages over some traditional control algorithms. It is shown that a faster convergence rate and a better load disturbance rejection performance can be yielded by the present algorithm. Finally, it is shown that the main results can be extended to the case of $n$ parallel dc-dc buck converters.
Subject Industrial Electronics
Pattern Recognition and Data Mining
Keyword(s) Current sharing
finite-time control
parallel dc-dc buck converter
voltage regulation
DOI - identifier 10.1109/TII.2018.2864783
Copyright notice © 2018 IEEE
ISSN 1551-3203
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