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

23 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
Pages (from-to)11903-11914
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Volume69
Issue number12
Early online date7 Dec 2021
DOIs
Publication statusPublished - 1 Dec 2022

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