Model-Free Predictive Control of Open-End Winding Permanent Magnet Synchronous Motor

Model-based predictive control (MPC) heavily depends on the precision of the machine parameters. In order to solve this problem, the model-free predictive control (MFPC) approach for open-end winding PMSM drives is proposed in this study. Sliding mode observers are used to estimate the unknown sections of the ultra-local model. The same DC bus is shared by an open-end winding PMSM supplied by two inverters, and the common bus topology will provide zero sequence current. In this study, zero common-mode voltage (CMV) vector is used as a finite control set to remove zero sequence current in open-end winding PMSM. Finally, the simulation demonstrates that, when the motor parameter is unpredictable, the suggested technique performs better dynamically and steadily than standard MPC.