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