2025 lEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2025)

Model predictive control (MPC) has recently been considered for many permanent magnet synchronous motors (PMSMs) drive applications. However, the traditional finite-set MPC suffers from such defects as large algorithmic computation and a single vector acting on the whole cycle. Those problems will directly affect the application effect of MPC in three-level inverters. To address the above problems, a multi-vector MPC algorithm based on fast vector selection is proposed in this work. The algorithm adopts vector synthesis and new optimization strategies to enhance the control performance. As a result, the self-balance of the NP voltage is realized for the NPC inverter with reduced common-mode voltage. Moreover, the new control strategy performs well in current harmonics minimization with reduced computational burden. Simulation results verify the effectiveness of the proposed there-vector MPC method. More details and experimental results will be presented in the full manuscript.

Fast vector selection,model predictive control,permanent magnet synchronous machine,multi-vector