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

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.