117 / 2025-03-12 21:33:41
Current Stress Optimization-Based Unbiased Model Predictive Control for Dual Active Bridge Converters
Dual active Bridge,model predictive control (MPC),Adaptive reference command,dynamic response,Efficiency optimization
终稿
Dehao Kong / Chair of High-Power Converter Systems, Technical University of Munich
Heyang sun / Northeast Electric Power University School of Electrical Engineering
Chuang Liu / Northeast Electric Power University
Jose Rodriguez / Universidad San Sebastian
Ralph Kennel / Technical University of Munich
Marcelo Lobo Heldwein / Technical University of Munich
To improve the power transfer efficiency, dynamic response, and robustness of dual active bridge (DAB) converters, this paper proposes a bias-free model predictive control (MPC) method. First, to mitigate high conduction losses and low conversion efficiency, the Karush-Kuhn-Tucker (KKT) conditions are employed to determine the optimal phase-shift angle for minimizing current stress. Then, a comprehensive set of cost functions is designed to evaluate and optimize candidate control variables, while adaptively correcting the reference commands. This approach eliminates steady-state errors caused by model parameter mismatches and enhances system robustness. Finally, an experimental prototype is developed to validate the effectiveness of the proposed control strategy.
重要日期
  • 会议日期

    06月05日

    2025

    06月08日

    2025

  • 04月30日 2025

    初稿截稿日期

主办单位
IEEE PELS
IEEE
承办单位
Southeast University
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