Improvised multi‐objective model predictive control of matrix converter using fuzzy logic and space vectors for switching decisions

Finite control set model predictive control (FCS‐MPC) has lately received noteworthy attention in the control of power converters. Such converters have a finite number of switching states, which ensure a small sample space of predictions and minimum computational burden. Although unanimously popular in most converters, multi‐objective FCS‐MPC (Mo‐FCS‐MPC) is a particularly attractive choice in the control of matrix converters (MCs), as it enables attainment of multiple objectives with relative ease. Conventionally, a weighing factor‐based approach is undertaken in the implementation of Mo‐FCS‐MPC wherein a cost‐function is framed such that each of its constituent objectives, is assigned a relative weight according to its significance. However, the tuning of weights is empirical in nature and hence tedious. This study proposes an improvised technique for implementing Mo‐FCS‐MPC in MCs while simultaneously meeting a number of objectives such as load current, source current, and input power factor control. Sector information from space vectors of reference output voltages and reference input currents, coupled with a fuzzy decision‐making criterion is used to make the final switching decision, hence eliminating the conventional weighing factor‐based approach. The inclusion of space vector modulation into predictive control enhances the quality of both loads as well as source current waveforms.