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

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

Resumen

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.

Idioma originalInglés
PublicaciónIEEE Transactions on Industrial Electronics
DOI
EstadoEn prensa - 2021

Áreas temáticas de ASJC Scopus

  • Ingeniería de control y sistemas
  • Ingeniería eléctrica y electrónica

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