Efficient predictive control of PMSM drives fed by 3L-NPC power converters: A cyber physical system approach

A cyber-physical system (CPS) approach for branch and bound algorithm (BnB) based model predictive control (MPC) of permanent magnet synchronous machine (PMSM) drive system fed by three-level NPC inverter is proposed in this work. The proposed control strategy deals with both the physical states and a cyber state, i.e. the sampling frequency. With the help of cyber controller, the cyber resource and sampling rate are regulated based on the performance of the physical system and the reference cyber state. This novel control scheme presents a new way of regulating PMSM drive systems, achieving higher computational efficiency. Besides, the proposed CPS controller achieves better performances comparing to the classical BnB-MPC solution, which is validated through simulation data.