A comparison among different Finite Control Set approaches and Convex Control Set Model-based Predictive Control applied in a Three-Phase Inverter with RL load

This paper presents a comparative study between two model-based predictive control (MPC) methods applied in a three-phase power inverter in terms of design and performance: finite control set (FCS-MPC) and convex control set (CCS-MPC). Moreover, different FCS-MPC strategies are tested. In order to analyze their advantages and disadvantages, it is shown a brief explanation about the inverter modeling and the control algorithms implementation. Note that the same parameters are used in the controllers numerical analyses, including unitary prediction horizon and an analytical solution for FCS-MPC. Furthermore, a different cost function for FCS-MPC is proposed in order to remove steady state error.