Computationally Efficient Model Predictive Control with Fixed Switching Frequency of Five-Level ANPC Converters

Yong Yang, Jianyu Pan, Huiqing Wen, Xinan Zhang, Margarita Norambuena, Longya Xu, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

This paper proposes a fixed switching frequency (FSF) based improved model predictive control (MPC) for a five-level active neutral-point clamped converter (5L-ANPC). Compared to the conventional MPC for 5L-ANPC, the proposed MPC significantly reduces the computational burden while ensuring the balance of DC-link and flying capacitor voltages. The proposed MPC optimally selects the control voltage vectors to reduce the common mode voltage (CMV), leading to a small CMV of the converter. Using three-voltage-vectors actions per control cycle in MPC, FSF is achieved. The steady-state and dynamic performance of the proposed MPC has been evaluated by experiments. The results verify the feasibility and effectiveness of the proposed MPC method.

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

Keywords

  • 5L-ANPC
  • Balance of capacitor voltages
  • Capacitors
  • Control systems
  • Fixed switching frequency
  • Model predictive control
  • Predictive control
  • Redundant switching states
  • Switches
  • Topology
  • Voltage
  • Voltage control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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