A Computationally Efficient Current-Sensorless Three-Vector Modulated Model Predictive Control with Neutral-Point Voltage Balancing for T-Type Inverters with LC Filters

  • Renji Mo
  • , Yong Yang*
  • , Rong Chen
  • , Kai Ni*
  • , Aiming Ji
  • , Chee Shen Lim
  • , Xinan Zhang
  • , Gang Fang
  • , Weibo Zeng
  • , Jose Rodriguez
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This article proposes a current-sensorless model predictive control (MPC) method for T-type three-level inverters with LC filters, eliminating the need for inductor or load current measurements. A capacitor current observer and a cost-function-modulated three-vector MPC are integrated to simultaneously regulate output voltage and balance the neutral-point voltage. To reduce computational complexity, a two-stage optimization strategy prioritizes vector length selection and voltage balancing, enabling its real-time implementation at kilohertz frequencies. Experimental results validate the method's effectiveness, demonstrating comparable performance to sensor-based approaches.

Original languageEnglish
Pages (from-to)11187-11198
Number of pages12
JournalIEEE Transactions on Transportation Electrification
Volume11
Issue number5
DOIs
Publication statusPublished - 2025

Keywords

  • Current-sensorless
  • model predictive control (MPC)
  • neutral-point voltage balancing
  • t-type inverters

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