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    Performance evaluation of model predictive control method for neutral point clamped inverter
    (Murat Yakar, 2022) Gülbudak, O.; Gökdag, M.
    The neutral-point clamped (NPC) inverter is a popular three-level converter topology used in motor drive applications and other dc/ac converter systems. In this paper, the performance evaluation of the model predictive control is performed to investigate its applicability in controlling NPC inverters. The model predictive control (MPC) is a promising closed-loop control strategy in applications where multiple control goals are considered. The ease of adding the objectives to the control law improves the reputation of the MPC. The numerous control goals can be regulated in single feedback. Thus, the adequate bandwidth is noticeably higher compared to the traditional linear controllers. However, controlling the multiple objectives require the use of weighting factors to tune the system performance. Regarding the system performance, multiple reference tracking performance is investigated in this study. Our case study considers three control goals: output load current, switching frequency control, and capacitor voltage balancing. The predictive control is designed to regulate these dynamics, and comprehensive performance analyses are performed. The designed controller is tested using a simulation tool. The simulation results prove that predictive control offers an excellent multi-objective control performance provided that the weighting factors and other design parameters are finely adjusted. The poor selection of the design parameters affects the closedloop performance, and the conducted analyses show the effects of the controller parameters. © Author(s) 2022.