A Modulated Model Predictive Control for Three-Phase Three-Level T-Type Inverter

Abstract

In order to control a three-phase three-level T-type inverter, a straightforward modulated model predictive control (MPC) method with a double-objective cost function is presented in this study. The modulated MPC can provide balanced dc-link capacitor voltages and three-phase sinusoidal load current under linear loads. First, 27 potential switching vectors are used to predict the future behavior of state variables. Then, using a seven-segment switching sequence similar to that used in space-vector modulation, three active voltage vectors are chosen to correspond to the lowest value of the double-objective cost function and are applied to the inverter, resulting in a fixed switching frequency operation. To assess the performance of the modulated MPC method under various load situations, simulation results are presented.