Robust Adaptive Observer-Based Model Predictive Control for Multilevel Flying Capacitors Inverter

This paper presents an adaptive observer (AO)-based model predictive control (MPC) for a multilevel flying capacitors inverter (FCI). The proposed system consists of a midpoint dc-link three-cell four-level FCI feeding an RL load. Using the actual load current, the proposed AO estimates accurately the capacitors' voltages, which are fed to the MPC algorithm by means of a hybrid model considering both discrete and continuous variables. For real-time constraints, sufficient conditions are given to guarantee the practical stability of the proposed AO-based MPC. Theoretical analysis and experimental results are given to show that the proposed method is stable for all system configurations and has good performances even during disturbances (load change, input change, and parameters variations).