A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation

Yuan Li; Subham Sahoo; Tomislav Dragičević; Yichao Zhang; Frede Blaabjerg

doi:10.1109/IECON49645.2022.9968713

A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation

Yuan Li, Subham Sahoo, Tomislav Dragičević, Yichao Zhang, Frede Blaabjerg

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Dual active bridge (DAB) converters are becoming one of the most reliable interfaces due to their high voltage range, easy realization of zero voltage switching (ZVS), galvanic isolation, etc. To meet specific consumer requirements in DC microgrids, DAB converters operate with different topologies. In this paper, a finite control set model predictive control (FCS-MPC)-based power sharing control is proposed when DAB converters are in different structures which are input series-output series, input parallel-output parallel, input parallel-output series, and input parallel-output parallel connecting structures. By analyzing the power balance relationship of the input port and output port, it determines the variable (input voltage/current or output voltage/current) which should be controlled to realize the power sharing. And then the cost function is designed based on the control strategy. Besides, this paper proposes a Kalman filter based parameter estimation method for the DAB converter. In this case, it guarantees the robustness of the MPC algorithm. Finally, the simulation results prove the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of the IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Number of pages	6
Publisher	IEEE
Publication date	20 Oct 2022
Pages	1-6
Article number	9968713
ISBN (Print)	978-1-6654-8026-0
ISBN (Electronic)	978-1-6654-8025-3
DOIs	https://doi.org/10.1109/IECON49645.2022.9968713
Publication status	Published - 20 Oct 2022
Event	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/Territory	Belgium
City	Brussels
Period	17/10/2022 → 20/10/2022

Keywords

Inductance
Parameter estimation
Simulation
Estimation
Zero voltage switching
Prediction algorithms
Robustness
DAB converter
power sharing
model predictive control
Kalman filter

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A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation_fAccepted author manuscript, 642 KB

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9968713

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Li, Y., Sahoo, S., Dragičević, T., Zhang, Y., & Blaabjerg, F. (2022). A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation. In Proceedings of the IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). Article 9968713 IEEE. https://doi.org/10.1109/IECON49645.2022.9968713

@inproceedings{828217b10f3e4a849e8c159f8a742b14,

title = "A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation",

abstract = "Dual active bridge (DAB) converters are becoming one of the most reliable interfaces due to their high voltage range, easy realization of zero voltage switching (ZVS), galvanic isolation, etc. To meet specific consumer requirements in DC microgrids, DAB converters operate with different topologies. In this paper, a finite control set model predictive control (FCS-MPC)-based power sharing control is proposed when DAB converters are in different structures which are input series-output series, input parallel-output parallel, input parallel-output series, and input parallel-output parallel connecting structures. By analyzing the power balance relationship of the input port and output port, it determines the variable (input voltage/current or output voltage/current) which should be controlled to realize the power sharing. And then the cost function is designed based on the control strategy. Besides, this paper proposes a Kalman filter based parameter estimation method for the DAB converter. In this case, it guarantees the robustness of the MPC algorithm. Finally, the simulation results prove the effectiveness of the proposed method.",

keywords = "Inductance, Parameter estimation, Simulation, Estimation, Zero voltage switching, Prediction algorithms, Robustness, DAB converter, power sharing, model predictive control, Kalman filter",

author = "Yuan Li and Subham Sahoo and Tomislav Dragi{\v c}evi{\'c} and Yichao Zhang and Frede Blaabjerg",

year = "2022",

month = oct,

day = "20",

doi = "10.1109/IECON49645.2022.9968713",

language = "English",

isbn = "978-1-6654-8026-0",

pages = "1--6",

booktitle = "Proceedings of the IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society",

publisher = "IEEE",

address = "United States",

note = "48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

}

Li, Y , Sahoo, S, Dragičević, T, Zhang, Y & Blaabjerg, F 2022, A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation. in Proceedings of the IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society., 9968713, IEEE, pp. 1-6, 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17/10/2022. https://doi.org/10.1109/IECON49645.2022.9968713

A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation. / Li, Yuan ; Sahoo, Subham; Dragičević, Tomislav et al.
Proceedings of the IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2022. p. 1-6 9968713.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation

AU - Li, Yuan

AU - Sahoo, Subham

AU - Dragičević, Tomislav

AU - Zhang, Yichao

AU - Blaabjerg, Frede

PY - 2022/10/20

Y1 - 2022/10/20

N2 - Dual active bridge (DAB) converters are becoming one of the most reliable interfaces due to their high voltage range, easy realization of zero voltage switching (ZVS), galvanic isolation, etc. To meet specific consumer requirements in DC microgrids, DAB converters operate with different topologies. In this paper, a finite control set model predictive control (FCS-MPC)-based power sharing control is proposed when DAB converters are in different structures which are input series-output series, input parallel-output parallel, input parallel-output series, and input parallel-output parallel connecting structures. By analyzing the power balance relationship of the input port and output port, it determines the variable (input voltage/current or output voltage/current) which should be controlled to realize the power sharing. And then the cost function is designed based on the control strategy. Besides, this paper proposes a Kalman filter based parameter estimation method for the DAB converter. In this case, it guarantees the robustness of the MPC algorithm. Finally, the simulation results prove the effectiveness of the proposed method.

AB - Dual active bridge (DAB) converters are becoming one of the most reliable interfaces due to their high voltage range, easy realization of zero voltage switching (ZVS), galvanic isolation, etc. To meet specific consumer requirements in DC microgrids, DAB converters operate with different topologies. In this paper, a finite control set model predictive control (FCS-MPC)-based power sharing control is proposed when DAB converters are in different structures which are input series-output series, input parallel-output parallel, input parallel-output series, and input parallel-output parallel connecting structures. By analyzing the power balance relationship of the input port and output port, it determines the variable (input voltage/current or output voltage/current) which should be controlled to realize the power sharing. And then the cost function is designed based on the control strategy. Besides, this paper proposes a Kalman filter based parameter estimation method for the DAB converter. In this case, it guarantees the robustness of the MPC algorithm. Finally, the simulation results prove the effectiveness of the proposed method.

KW - Inductance

KW - Parameter estimation

KW - Simulation

KW - Estimation

KW - Zero voltage switching

KW - Prediction algorithms

KW - Robustness

KW - DAB converter

KW - power sharing

KW - model predictive control

KW - Kalman filter

UR - https://ieeexplore.ieee.org/document/9968713/

U2 - 10.1109/IECON49645.2022.9968713

DO - 10.1109/IECON49645.2022.9968713

M3 - Article in proceeding

SN - 978-1-6654-8026-0

SP - 1

EP - 6

BT - Proceedings of the IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

T2 - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

A Model Predictive Control based Power Sharing Control of Dual Active Bridge Converter with Parameters Estimation

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