Model Predictive Control of Three-Phase Two-Level Converters

Due to the finite number of switching combinations of power converters, finite set model predictive control (MPC) is becoming popular control schemes for converter control [1, 2]. It models the converter as a system with finite number of switching states, which can be evaluated online by a cost function and select the switching state that minimizes the cost function. This chapter proposes a model predictive control strategy for three-phase two-level ac/dc power converter. The control is in DPC mode and consists of voltage regulation loop and power tracking loop. The finite-set model predictive control is adopted for power tracking loop to directly drive the active and reactive powers of the system to their reference values with fast dynamics. For voltage regulation loop, a PI controller integrated with an LESO is designed to regulate the dc-link voltage. The effectiveness and advantage of proposed strategy is verified through simulation, using conventional MPC as comparison baseline.