Finite Control Set Model Predictive Current Control of Non-isolated AC-AC Converters

AC-AC converters are employed in a variety of applications like heating control, light dimmers and AC voltage regulation. However, the most common topology used is that of a dc-link converter which suffers from the drawback of bulky dc link, larger footprint and compromises on the reliability of the system. As a natural extension to the well-established DC-DC converters, direct AC-AC converters contribute towards improved power quality, smaller footprint and absence of dc-link, Owing to the present-time digital signal processing abilities, Finite Control Set Model Predictive Current Control (FCS-MPCC) has been proposed as an effective modulation strategy for the control of these converters. This paper analyses the design, simulation and control of 1ϕ AC-AC converters in buck and boost mode using FCS-MPCC. Simulation results are further presented to investigate the performance of the proposed prediction method. The results depict minimum reference tracking error while respecting the restrictions on maximum allowable total harmonic distortion (THD).