A Nine-Level Switched-Capacitor Based Quadruple Boost Inverter Using Finite Control Set MPC

Model Predictive Control (MPC) provides notable advantages over conventional linear Pulse Width Modulation (PWM)-based switching techniques, including faster dynamic response, the ability to manage multiple inputs and outputs simultaneously, and the ability to integrate various constraints. Despite these advantages, the use of MPC algorithms in specific multilevel inverter topologies remains underexplored, indicating a critical research gap that requires deeper investigation. This paper addresses this gap by proposing the implementation of a Finite Control Set Model Predictive Control (FCS-MPC) algorithm for a nine-level switched capacitor-based quadruple-boost multilevel inverter (QBMLI). The system model was initially developed in MATLAB/Simulink, focusing on a PV-fed QBMLI with an RLE load, which mimics the characteristics of the motor load. The performance of the system is then validated in real time using a dSPACE Scalexio-based Hardware-in-the-Loop (HIL) setup. Key performance metrics, including load current tracking, transient response, and harmonic distortion in the load current, were evaluated under different sampling intervals. In addition, a detailed analysis is carried out to assess the influence of load changes on system performance, providing essential information for the practical application and optimization of FCS-MPC in advanced multilevel inverter topologies.