A Modified Multi-objective Finite Control Set Model Predictive Control for Three-level Neutral-Point Clamped Inverter

Finite control set model predictive control (FCS-MPC) is a very attractive solution control tool for power converters and drives. FCS-MPC is based on the calculation of the future system behavior and evaluated a cost function g of all switching states available in the three-level neutral-point clamped (3L-NPC) inverter. The optimal switching state minimizes g is selected and applied directly to the inverter. The main drawback of FCS-MPC is the larger computational burden. In this paper, a modified multi-objective (MO) FCS-MPC for 3L-NPC inverter based on compensation of computational delay is proposed. Accordingly, four MO FCS-MPCs are proposed and they transient-state and steady-state performances are compared with each other by simulation results.