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

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

Abstract

This article proposes a fixed switching frequency (FSF)-based improved model predictive control (MPC) for a five-level active neutral-point clamped (5L-ANPC) converter. Compared to the conventional MPC for 5L-ANPC converter, 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 common mode voltage (CMV), leading to a small CMV of the converter. Using three voltage vectors action per control cycle in MPC, FSF is achieved. Steady-state and dynamic performances of the proposed MPC have been evaluated by experiments. The results verify the feasibility and effectiveness of the proposed MPC method.

Más información

Título según WOS: Computationally Efficient Model Predictive Control With Fixed Switching Frequency of Five-Level ANPC Converters
Título de la Revista: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volumen: 69
Número: 12
Editorial: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Fecha de publicación: 2022
Página de inicio: 11903
Página final: 11914
DOI:

10.1109/TIE.2021.3131797

Notas: ISI