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Robust Tracking Control of Dual-Active-Bridge DC–DC Converters with Parameter Uncertainties and Input Saturation

Author

Listed:
  • Nguyen Ngoc Nam

    (Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Daehak-ro 93, Nam-Gu, Ulsan 680-749, Republic of Korea)

  • Sung Hyun Kim

    (Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Daehak-ro 93, Nam-Gu, Ulsan 680-749, Republic of Korea)

Abstract

This paper proposes a method for robust tracking control synthesis of dual-active-bridge (DAB) DC–DC converters with parameter uncertainties and input saturation. In the proposed method, the nonlinear function of the phase shift ratio is expressed as a control input, and the phase shift ratio is determined by the one-to-one relationship with the control input. Especially, the proposed method is developed with consideration of the input saturation phenomenon that occurs physically in the phase shift ratio of DAB DC–DC converters. Furthermore, based on the proposed method, a set of exponential constrained stabilization conditions for DAB DC–DC converter systems with parameter uncertainties is provided to ensure a fast convergence rate. Finally, to verify the effectiveness of the proposed control method, various simulation results are provided and compared with the well-known improved model phase shift control (IMPSC) and load current feedforward (LCFF) control methods.

Suggested Citation

  • Nguyen Ngoc Nam & Sung Hyun Kim, 2022. "Robust Tracking Control of Dual-Active-Bridge DC–DC Converters with Parameter Uncertainties and Input Saturation," Mathematics, MDPI, vol. 10(24), pages 1-19, December.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:24:p:4719-:d:1000863
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    References listed on IDEAS

    as
    1. Adriano Nardoto & Arthur Amorim & Nelson Santana & Emilio Bueno & Lucas Encarnação & Walbermark Santos, 2022. "Adaptive Model Predictive Control for DAB Converter Switching Losses Reduction," Energies, MDPI, vol. 15(18), pages 1-24, September.
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