Modulated Model Predictive Control for Eight-State Multilevel Converters based on the Vector Analysis

This paper presents a vector-based modulated model predictive (MMPC) control for Eight-State Multilevel Converters, which can minimize the control errors and achieve better dynamic performance by properly selecting the fundamental vectors in different operation conditions. A Four-Level Flying Capacitor Boost Converter (4L-FCBC) is simulated to validate the proposed control strategy. The results show that the inductor current, flying capacitor voltage and output voltage ripple of the MMPC are about 5%, 40% and 20% of the MPC, respectively. Meanwhile, the dynamic response speed is also greatly improved.