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Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter.

Kai Zhou1, Chengxiang Yuan1, Dongyang Sun1

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Summary

This study introduces an adaptive sliding mode control for Full-Bridge converters, improving dynamic performance and reducing steady-state error. An adaptive algorithm ensures optimal system operation under varying conditions.

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Area of Science:

  • Electrical Engineering
  • Control Systems

Background:

  • Traditional control strategies for Full-Bridge converters exhibit poor dynamic performance.
  • Addressing steady-state errors and system optimization is crucial for efficient power conversion.

Purpose of the Study:

  • To develop a novel parameter adaptive terminal sliding mode control policy for Full-Bridge DC-DC converters.
  • To enhance the dynamic performance and minimize steady-state errors of the converter system.
  • To ensure optimal system performance through real-time adaptation of control parameters.

Main Methods:

  • A new sliding surface is designed by integrating integral, power, and differential functions.
  • An improved adaptive algorithm adjusts the power parameter (γ) in real-time based on system output tracking.
  • Simulation models are used to validate the proposed control strategy.

Main Results:

  • The proposed control policy theoretically achieves near-zero steady-state error rapidly.
  • The adaptive γ algorithm effectively manages un-ideal situations and maintains optimal system state.
  • Simulation results demonstrate significant improvements in dynamic performance under various conditions.

Conclusions:

  • The developed parameter adaptive terminal sliding mode control offers superior dynamic performance for Full-Bridge converters.
  • Real-time adaptation of control parameters ensures robust and optimal system operation.
  • The proposed method provides a viable solution for enhancing the efficiency and stability of DC-DC converters.