Performance-Enhanced Direct Multiple-Vector Model Predictive Power Control for grid-tied AFEs

摘要

Direct Model Predictive Power Control (DMPPC) has emerged as a viable alternative for grid-tied Active Front End (AFE) power converters. However, its one-switching-vector-per-sampling-interval character leads to big ripples in its control variables. This work proposes a Performance-Enhanced Direct Multiple-Vector Model Predictive Power Control (DMV-MPPC) solution for grid-tied AFEs directly implementable on an FPGA. The proposed control scheme is compared with the classical DMPPC. The presented experimental results illustrate that the control performance can be significantly improved by the proposed DMV-MPPC scheme.