An Efficient Model Predictive Control Using Virtual Voltage Vectors for Three-phase Three-level Converters with Constant Switching Frequency

Yong Yang, Huiqing Wen, Rong Chen, Mingdi Fan, Xinan Zhang, Margarita Norambuena, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, an efficient model predictive control (MPC) using virtual voltage vectors for three-phase three-level converters is proposed. The proposed MPC achieves constant switching frequency by applying four voltage vectors (VVs), including one virtual VV and three other VVs, in each control cycle. In addition, to reduce the computational burden, two-stage MPC approach is adopted. The first stage chooses one of six medium voltage vectors that minimizes the cost function. Then, in the second stage, these voltage vectors including virtual voltage vectors which locate the same sector with the optimal medium voltage vector, are involved in the MPC optimization. The advantages of the proposed MPC over the classical MPC have been validated through experimental results.

Original languageEnglish
JournalIEEE Transactions on Industrial Electronics
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Capacitors
  • Cost function
  • model predictive control
  • multilevel converters
  • Predictive control
  • Steady-state
  • Switches
  • Switching frequency
  • Virtual voltage vector
  • Voltage control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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