Model-Free Predictive Voltage Control with Moving-Discrete-Control-Set for Dual Active Bridge Converters
Yin Zheng1, Deng Fujin1, Wang Qingsong1, Zhan Xin2, Huang Kun3
1. School of Electric al Engineering Southeast University Nanjing 210096 China; 2. Yangzhou Power Supply Company of State Grid Jiangsu Electric Power Co. Ltd Yangzhou 225000 China; 3. State Grid NARI Technology Company Ltd. Nanjing 211106 China
Abstract：In power electronics, the dual active bridge (DAB) converter stands as a pivotal component in various applications, from electric vehicle charging stations to renewable energy systems. The conventional model predictive control (MPC) strategies for the DAB converter are inherently tethered to the precision of system parameters. Any deviation or uncertainty in these parameters can lead to suboptimal performance or instability in the voltage control loop. Based on a moving-discrete control set, this paper proposes a free predictive voltage control (MDCS-MFPVC) strategy to eliminate the influence of system parameters on the voltage control of the DAB converter. Firstly, the influence of parameter mismatch on conventional MPC is analyzed. Then, the discrete data model of the DAB converter is established to replace the conventional mathematical model and improve the robustness of predictive voltage control. Then, through the error feedback of the data model and the setting of multiple input variables, the discrete data model is identified in real time with the least square method. Combined with system sampling and data model identification results, model-free predictive of voltage at a future time is realized, and the optimal phase shift angle is evaluated by cost function and applied to the next control period. This method can identify the system data model of the DAB converter in real time, eliminating the influence of parameter mismatch on MPC, and ensuring the robustness of output voltage. Finally, the simulation and experiment system of the DAB converter is set up to verify the effectiveness of the proposed method. Parameter robustness simulation shows that when the output voltage reference is 50 V, the maximum output voltage error of the proposed MDCS-MFPVC method is 0.11 V, 13.89 V lower than the conventional MPC method. When the output voltage reference is 45 V, the maximum output voltage error of the conventional MPC and the proposed MDCS-MFPVC is 12 V and 0.098 V, respectively. The parameter robustness experiment shows that the proposed MDCS-MFPVC method cannot be affected by any changed parameters, verifying the effectiveness of the proposed method. Dynamic performance simulation and experiment show that the proposed MDCS-MFPVC has a dynamic performance similar to the conventional MPC under changed output voltage reference, load resistance, and input voltage. The following conclusions can be drawn. (1) The proposed MDCS-MFPVC method has good parameter robustness. When the parameters are mismatched, the output voltage error of the DAB is significantly reduced, and the voltage quality is improved. When the parameters are accurate, the voltage performance of the proposed MDCS-MFPVC is similar to that of the conventional MPC. (2) The proposed MDCS-MFPVC method has a similar dynamic performance when the output voltage reference, load resistance, and input voltage change. In future studies, the proposed method can be extended and applied to the multi-active bridge converter system to further study the power distribution and parameter robustness of the system.
尹政, 邓富金, 王青松, 詹昕, 黄堃. 双有源桥变换器移动离散控制集无模型预测电压控制策略[J]. 电工技术学报, 2025, 40(6): 1853-1863.
Yin Zheng, Deng Fujin, Wang Qingsong, Zhan Xin, Huang Kun. Model-Free Predictive Voltage Control with Moving-Discrete-Control-Set for Dual Active Bridge Converters. Transactions of China Electrotechnical Society, 2025, 40(6): 1853-1863.
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2025, Vol. 40 
