Author(s)

Junting Liu ¹, Zhixue Wang ¹, Junwei Wang ¹, Yutian Jiao ¹

Affiliation(s)

¹ College of Rail Transit, Shandong Jiaotong University, Jinan, 250357, China

Corresponding Author

Junting Liu

ABSTRACT

Against the backdrop of the "dual-carbon" strategy and the rapid development of renewable energy, Dual Active Bridge (DAB) converters have attracted wide application in energy storage systems and electric vehicles due to their high-efficiency bidirectional power transfer and galvanic isolation. Traditional PI control shows limited dynamic performance under complex operating conditions. Model Predictive Control (MPC), while forward-looking, depends heavily on model accuracy and is prone to steady-state errors under light load or parameter variations. This paper proposes a hybrid control strategy that integrates Super-Twisting Sliding Mode Control (ST-SMC) with MPC. The output of ST-SMC is employed as an error compensation term for MPC, combining predictive optimization with strong robustness. First, a mathematical model of the DAB converter is established and the control law is derived. Next, system stability is verified using the Lyapunov method. Finally, MATLAB/Simulink simulations compare the performance of traditional PI control, standalone MPC, and the proposed hybrid strategy. Simulation results demonstrate that the proposed method outperforms conventional approaches in terms of dynamic response and disturbance rejection, confirming its effectiveness and practical value in renewable energy power systems. 

KEYWORDS

Dual Active Bridge; Model Predictive Control; Super-Twisting Sliding Mode Control; Robustness; Renewable Energy Power Systems

CITE THIS PAPER

Junting Liu, Zhixue Wang, Junwei Wang, Yutian Jiao, Research on a Control Strategy for Dual Active Bridge Converters Combining Super-Twisting Sliding Mode and Model Predictive Control. Journal of Electrotechnology, Electrical Engineering and Management (2025) Vol. 8: 132-140. DOI: http://dx.doi.org/10.23977/jeeem.2025.080116.

REFERENCES

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