基于龙格库塔的双有源全桥变换器鲁棒预测电压控制策略

doi:10.19595/j.cnki.1000-6753.tces.241890

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Abstract In recent years, the scale and application of DC microgrids have continuously expanded. Within DC microgrids, isolated bidirectional DC/DC power converters play a pivotal role, enabling not only energy exchange between energy storage systems and DC microgrids but also power flow management between DC microgrids and distribution networks through solid-state transformer integration. Among various topologies, the dual active bridge (DAB) converter stands out as one of the most promising configurations due to its inherent capability for automatic bidirectional power flow regulation and wide voltage conversion gain range.
To ensure dynamic performance and voltage tracking accuracy of DAB converters while enhancing multi-objective control capabilities, model predictive voltage control (MPVC) has been widely adopted in DAB converter systems. However, the performance of MPVC critically relies on precise system modeling and parameter identification. Discrepancies between theoretical model parameters and actual system characteristics can degrade control effectiveness, increase electrical and thermal stresses on DAB converters, reduce system reliability, and potentially cause system failures under sustained error accumulation.
Addressing these challenges, this paper proposes a robust predictive voltage control (RPVC) strategy based on the Runge-Kutta method for DAB converters. Firstly, the impact of leakage inductance and capacitance parameter deviations on output voltage performance under conventional MPVC is systematically analyzed. Subsequently, an ultra-local model of the DAB converter is established and dynamically updated in real-time through the integration of Runge-Kutta discretization and Lagrange interpolation, effectively replacing traditional predictive models. Then, adaptive phase-shift ratios are calculated through model updating. Finally, an optimal phase-shift ratio is determined and implemented via a value function-based optimization process.
To validate the effectiveness of the proposed RPVC methodology, an experimental DAB converter prototype was developed for comparative analysis of voltage regulation performance under multiple operational conditions. Systematic evaluations were conducted among three control frameworks: conventional MPVC, traditional robust MPVC, and the proposed RPVC approach, with particular emphasis on steady-state precision and dynamic transient response. The control platform employed a TMS320C28346 DSP-based digital controller. Experimental results demonstrate that the proposed RPVC achieves comparable steady-state and dynamic performance to conventional MPVC and traditional robust MPVC methods under parameter-accurate conditions. Notably, under parameter mismatch scenarios, the RPVC maintains unaffected steady-state and dynamic characteristics, outperforming both conventional MPVC and traditional robust MPVC approaches. This parameter-independent performance ensures reliable system operation of DAB converters under practical implementation conditions.
For subsequent investigations, the proposed methodology could be systematically expanded to multi-port active bridge (MAB) converter architectures, facilitating detailed exploration of load distribution characteristics and system-wide parametric robustness under dynamic operational scenarios. This extension would enable quantitative evaluation of the framework’s scalability and adaptability in complex multi-terminal energy networks.

Key words： Dual active bridge converter model predictive voltage control Runge-Kutta Lagrange interpolation method parameter robustness

Received: 22 October 2024

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TM464

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	Yin Zheng
	Deng Fujin
	Liu Hengmen
	Zhan Xin
	Huang Kun

Cite this article:

Yin Zheng,Deng Fujin,Liu Hengmen等. Robust Predictive Voltage Control for Dual Active Bridge Converters Based on Runge-Kutta[J]. Transactions of China Electrotechnical Society, 2025, 40(23): 7608-7620.

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