Low complexity finite-control-set MPC based on discrete space vector modulation for T-type three-phase three-level converters

Yong Yang, Huiqing Wen, Mingdi Fan, Xinan Zhang, Liqun He, Rong Chen, Menxi Xie, Margarita Norambuena, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, a low complexity finite-control-set model predictive control (FCS-MPC) based on the discrete space vector modulation (DSVM) is proposed for T-type three-phase three-level (3P-3L) converters. Different from the conventional FCS-MPC, 48 virtual voltage vectors (VVs) of the converter are constructed by real VVs based on the DSVM. Thus, the performance of 3P-3L converters is significantly improved and the peak amplitude of high-order harmonics concentrates at the sampling frequency. Furthermore, two-stage FCS-MPC based on virtual VVs is proposed to reduce the computation burden. Its first stage selects one of six virtual VVs that minimizes the current tracking error. Then, these candidate VVs located in the same sector as the optimal virtual VV selected in the first stage are evaluated in the second-stage optimization. Thus, the computational efficiency has been greatly improved. To verify the validity of the proposed control method and show its superiority over the conventional FCS-MPC, experimental results are presented.

Original languageEnglish
Pages (from-to)392-403
Number of pages12
JournalIEEE Transactions on Power Electronics
Volume37
Issue number1
DOIs
Publication statusPublished - Jan 2022

Keywords

  • Discrete space vector modulation (DSVM)
  • model predictive control
  • multilevel converters
  • virtual voltage vector (VV)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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