Model predictive control based on single-phase shift modulation for triple active bridge DC-DC converter.

Area of Science:

• Electrical Engineering
• Power Electronics
• Control Systems

Background:

• Triple-active bridge (TAB) converters offer high efficiency and power density.
• Controller design for TAB converters is challenging due to high-frequency transformer coupling.
• Existing control methods struggle with precise voltage regulation and port decoupling.

Purpose of the Study:

• To develop a model predictive control (MPC) strategy for TAB converters.
• To improve transient performance, control flexibility, and precision in TAB converters.
• To achieve robust DC voltage regulation and optimal port decoupling.

Main Methods:

• Implementation of a single-phase shift modulation-based MPC for the TAB converter.
• Utilization of a cost function for robust voltage regulation.
• Development of a Karush-Kuhn-Tucker (KKT) conditions-based algorithm for closed-form optimal control solutions.

Main Results:

• The proposed MPC demonstrates improved transient performance and control precision.
• Hardware-in-loop (HIL) experiments validate the effectiveness of the MPC strategy.
• The method achieves faster dynamic characteristics and effective port power decoupling.

Conclusions:

• The developed MPC approach provides a robust and effective control solution for TAB converters.
• The strategy ensures reliable DC voltage regulation and efficient port power decoupling.
• The findings confirm the superiority of the proposed MPC compared to previous methods.