Skip to main content
SpringerLink
Log in

A Model Predictive Voltage Control for Dual-active-bridge DC-DC Converter Using Generalized Averaging Model

  • Special Section on the 22nd International Conference on Control, Automation, and Systems (ICCAS 2022)
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

This paper proposes a model predictive voltage control (MPVC) for dual-active-bridge (DAB) DC-DC converters using the generalized averaging model (GAM). Based on the GAM, the high-frequency transformer current can be approximated by two current components in the real and imaginary axes. Since the averaging model just considers the dominant term in the Fourier series, there is an inevitable model mismatch in the output voltage dynamics. Therefore, a disturbance representing the model uncertainty is lumped into the output current channel, allowing the design of the state observer. The output of state estimation matches well with the actual transformer current waveform through FFT analysis at the steady-state condition. Using the estimated state, an MPVC is designed based on the state-feedback law with a constant controller gain. Finding an optimal controller gain is accomplished by a systematic tuning method. The proposed MPVC’s performance is compared with an improved fast voltage control and quadratic programming solver-based MPC in the simulation results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. H. Qin and J. W. Kimball, “Generalized average modeling of dual active bridge DC-DC converter,” IEEE Transactions on Power Electronics, vol. 27, no. 4, pp. 2078–2084, 2012.

    Article  Google Scholar 

  2. M. Cupelli, S. K. Gurumurthy, S. K. Bhanderi, Z. Yang, P. Joebges, A. Monti, and R. W. de Doncker, “Port controlled hamiltonian modeling and ida-pbc control of dual active bridge converters for DC microgrids,” IEEE Transactions on Industrial Electronics, vol. 66, no. 11, pp. 9065–9075, 2019.

    Article  Google Scholar 

  3. Y. Guan, Y. Xie, Y. Wang, Y. Liang, and X. Wang, “An active damping strategy for input impedance of bidirectional dual active bridge DC-DC converter: Modeling, shaping, design, and experiment,” IEEE Transactions on Industrial Electronics, vol. 68, no. 2, pp. 1263–1274, 2021.

    Article  Google Scholar 

  4. Z. Qin, Z. Shen, F. Blaabjerg, and P. Bauer, “Transformer current ringing in dual active bridge converters,” IEEE Transactions on Industrial Electronics, vol. 68, no. 12, pp. 12130–12140, 2021.

    Article  Google Scholar 

  5. J. Yin, J. Lu, Y. Liu, J. Peng, and H. Jiang, “Novel phase-shift method for fast power reversal with transient zero voltage switching in a bidirectional dual active bridge DC-DC converter,” IEEE Transactions on Industrial Electronics, vol. 68, no. 9, pp. 8028–8038, 2021.

    Article  Google Scholar 

  6. T. T. Le, H. Jeong, and S. Choi, “A bidirectional three-phase push-pull converter with hybrid PPS-DAPWM switching method for high power and wide voltage range applications,” IEEE Transactions on Industrial Electronics, vol. 68, no. 2, pp. 1322–1331, 2021.

    Article  Google Scholar 

  7. G. Xu, L. Li, X. Chen, Y. Liu, Y. Sun, and M. Su, “Optimized EPS control to achieve full load range ZVS with seamless transition for dual active bridge converters,” IEEE Transactions on Industrial Electronics, vol. 68, no. 9, pp. 8379–8390, 2021.

    Article  Google Scholar 

  8. F. Wu, F. Feng, and H. B. Gooi, “Cooperative triple-phase-shift control for isolated DAB DC-DC converter to improve current characteristics,” IEEE Transactions on Industrial Electronics, vol. 66, no. 9, pp. 7022–7031, 2019.

    Article  Google Scholar 

  9. Q. Bu, H. Wen, J. Wen, Y. Hu, and Y. Du, “Transient DC bias elimination of dual-active-bridge DC-DC converter with improved triple-phase-shift control,” IEEE Transactions on Industrial Electronics, vol. 67, no. 10, pp. 8587–8598, 2020.

    Article  Google Scholar 

  10. F. Feng, X. Zhang, J. Zhang, and H. B. Gooi, “Stability enhancement via controller optimization and impedance shaping for dual active bridge-based energy storage systems,” IEEE Transactions on Industrial Electronics, vol. 68, no. 7, pp. 5863–5874, 2021.

    Article  Google Scholar 

  11. D. Chen, J. Deng, M. Li, Z. Wang, and S. Wang, “An enhanced dual active bridge converter with full domain ZVS by utilizing a simple segment control for wide voltage range applications,” IEEE Transactions on Industrial Electronics, vol. 69, no. 7, pp. 6817–6827, 2022.

    Article  Google Scholar 

  12. E. Sebastian, E. Montijano, E. Oyarbide, C. Bernal, and R. Galvez, “Nonlinear implementable control of a dual active bridge series resonant converter,” IEEE Transactions on Industrial Electronics, vol. 69, no. 5, pp. 5111–5121, 2022.

    Article  Google Scholar 

  13. D.-D. Nguyen, G. Fujita, Q. Bui-Dang, and M. C. Ta, “Reduced-order observer-based control system for dual-active-bridge DC/DC converter,” IEEE Transactions on Industry Applications, vol. 54, no. 4, pp. 3426–3439, 2018.

    Article  Google Scholar 

  14. L. Chen, K. Shen, Z. Wang, L. Tarisciotti, P. Wheeler, and T. Dragičević, “Predictive control based DC microgrid stabilization with the dual active bridge converter,” IEEE Transactions on Industrial Electronics, vol. 67, no. 10, pp. 8944–8956, 2020.

    Article  Google Scholar 

  15. M. Ali, M. Yaqoob, L. Cao, and K. H. Loo, “Disturbance-observer-based DC-bus voltage control for ripple mitigation and improved dynamic response in two-stage singlephase inverter system,” IEEE Transactions on Industrial Electronics, vol. 66, no. 9, pp. 6836–6845, 2019.

    Article  Google Scholar 

  16. W. Zhao, X. Zhang, S. Gao, and M. Ma, “Improved modelbased pPhase-shift control for fast dynamic response of dual-active-bridge DC/DC converters,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 9, no. 1, pp. 223–231, February 2021.

    Article  Google Scholar 

  17. G. F. Franklin, J. D. Powell, and M. L. Workman, Digital Control of Dynamic Systems, Addison-Wesley, 3rd Edition, 1997.

  18. L. Wang, Model Predictive Control System Design and Implementation using MATLAB, Springer-Verlag London, 2009.

    Google Scholar 

  19. N. D. Nguyen and Y. Il Lee, “Disturbance observer-based transformer current estimation for bidirectional dual-active-bridge DC-DC converter using LMI-based optimization,” Proc. of International Conference on Control, Automation and Systems, vol. 2022-November, pp. 580–585, 2022.

  20. N. D. Nguyen, N. N. Nam, C. Yoon, and Y. il Lee, “Speed sensorless model predictive torque control of induction motors using a modified adaptive full-order observer,” IEEE Transactions on Industrial Electronics, vol. 69, no. 6, pp. 6162–6172, 2022.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Research Center of Electrical and Information Technology, SeoulTech, Seoul, 01811, Korea

    Ngoc-Duc Nguyen

  2. Department of Electrical and Information Engineering, SeoulTech, Seoul, 01811, Korea

    Young Il Lee

Authors
  1. Ngoc-Duc Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Young Il Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Young Il Lee.

Ethics declarations

The authors declare that there is no competing financial interest or personal relationship that could have appeared to influence the work reported in this paper.

Additional information

Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant NRF-2019R1A6A1A03032119, and in part by Korea Institute for Advancement of Technology (KIAT) through the International Cooperative R&D program Project P0017189.

Ngoc-Duc Nguyen received his B.Sc. degree of mechatronics from Ho Chi Minh University of Technology, Vietnam, in 2014. Then, he received his M.S. and Ph.D. degrees in control engineering from Korea Maritime and Ocean University, Korea, in 2016 and 2019, respectively. He has worked as a post-doctoral researcher of Research Center for Electrical and Information Technology at SeoulTech. His research interests include automatic control implementation on robotics, electrical machines, power converters and hybrid energy storage system. He serves as a Reviewer for “IEEE Transactions on Industrial Electronics”, “IEEE Transactions on Power Electronics”, and “International Journal of Control, Automation, and Systems”.

Young Il Lee received his B.S., M.S., and Ph.D. degrees in control and instrumentation engineering from Seoul National University (SNU) in 1986, 1988, and 1994, respectively. He was visiting research fellow of Dept. of Engineering Science, Oxford University during 1998. 2-1999. 7 and 2007. 2-2007. 7. He worked in Gyeongsang National University from 1994 to 2001 and moved to Seoul National University of Science and Technology (SeoulTech) in 2001. He is currently a Professor of the Department of Electrical and Information Engineering of SeoulTech. He is a senior member of IEEE since 2015 and is serving as an editor of International Journal of Control, Automation, and Systems (IJCAS) and International Journal of Automotive Technology (IJAT) from 2017 and 2019, respectively. Currently he is the director of electrical vehicle society of Korea Institute of Electrical Engineering (KIEE) and the director of Research Center of Electrical and Information Technology of SeoulTech. His area of scientific interests include MPC for systems with input constraints and model uncertainties, MPC method for DC-DC, AC-DC converter and DC-AC inverter, control of EV chargers, control of AC motors for EV application, and energy management algorithm of micro-grids.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nguyen, ND., Lee, Y.I. A Model Predictive Voltage Control for Dual-active-bridge DC-DC Converter Using Generalized Averaging Model. Int. J. Control Autom. Syst. 21, 2455–2463 (2023). https://doi.org/10.1007/s12555-023-0191-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-023-0191-3

Keywords

Search

Navigation