Computation-Efficient Model Predictive Control With Common-Mode Voltage Elimination for Five-Level ANPC Converters

Yang, Yong; Wen, Huiqing; Fan, Mingdi; Xie, Menxi; Peng, Simin; Norambuena, Margarita; Rodriguez, Jose

Abstract

In this article, a computation-efficient model predictive control (MPC) is proposed to eliminate common-mode voltages (CMVs) of three-phase five-level active neutral-point-clamped (3P-5L-ANPC) converters. Originated from the CMV analysis of the 3P-5L-ANPC with all possible 125 possible voltage vectors, only 19 voltage vectors that generate zero CMV are adopted as the candidate voltage vectors for the MPC. The best voltage vector from the candidate voltage vectors is selected to track the current references. Then, appropriate switching combinations of the selected best voltage vector are determined to effectively balance the flying and dc-link capacitor voltages without any additional hardware components. Furthermore, the proposed MPC only chooses five candidate voltage vectors involving in MPC optimization according to the location of the reference voltage vector, which significantly alleviates the computational burden. Finally, the effectiveness of the proposed MPC in terms of the steady-state and dynamic performances is validated by simulated and experimental results.

Más información

Título según WOS: Computation-Efficient Model Predictive Control With Common-Mode Voltage Elimination for Five-Level ANPC Converters
Título de la Revista: IEEE Transactions on Transportation Electrification
Volumen: 6
Número: 3
Editorial: IEEE
Fecha de publicación: 2020
Página de inicio: 970
Página final: 984
DOI:

10.1109/TTE.2020.2996608

Notas: ISI