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State-Set-Optimized Finite Control Set Model Predictive Control for Three-Level Non-Inverting Buck–Boost Converters

Mingxia Xu, Hongqi Ding (), Rong Han, Xinyang Wang, Jialiang Tian, Yue Li and Zhenjiang Liu
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Mingxia Xu: School of Electrical Engineering, Dalian Jiaotong University, Dalian 116024, China
Hongqi Ding: School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China
Rong Han: School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian 116024, China
Xinyang Wang: School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian 116024, China
Jialiang Tian: School of Electrical Engineering, Dalian Jiaotong University, Dalian 116024, China
Yue Li: School of Electrical Engineering, Dalian Jiaotong University, Dalian 116024, China
Zhenjiang Liu: School of Electrical Engineering, Dalian Jiaotong University, Dalian 116024, China

Energies, 2025, vol. 18, issue 17, 1-20

Abstract: Three-level non-inverting buck–boost converters are promising for electric vehicle charging stations due to their wide voltage regulation capability and bidirectional power flow. However, the number of three-level operating states is four times that of two-level operating states, and the lack of a unified switching state selection mechanism leads to serious challenges in its application. To address these issues, a finite control set model predictive control (FCS-MPC) strategy is proposed, which can determine the optimal set and select the best switching state from the excessive number of states. Not only does the proposed method achieve fast regulation over a wide voltage range, but it also maintains the input- and output-side capacitor voltage balance simultaneously. A further key advantage is that the number of switching actions in adjacent cycles is minimized. Finally, a hardware-in-the-loop experimental platform is built, and the proposed control method can realize smooth transitions between multiple operation modes without the need for detecting modes. In addition, the state polling range and the number of switching actions are superior to conventional predictive control, which provides an effective solution for high-performance multilevel converter control in energy systems.

Keywords: buck–boost converters; finite control set model predictive control (FCS-MPC); switching actions; three-level converters; wide voltage range (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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