A Model-Free Predictive Current Control for PMSM Driving System of EV with Adjustable Low Inertia

Abstract

To overcome the performance limitation caused by the unsuitable inertia, a model-free predictive current control (MF-PCC) strategy with adjustable low inertia is proposed in this paper and applied to the permanent magnet synchronous motor (PMSM) driving system of the electrical vehicle (EV). An extended state observer (ESO) with an inertia ratio part is designed to estimate the disturbance which is used to adjust the inertia and build the ultra-local model at the same time to achieve better control performance without any physical parameters. The bode diagram and experimental validations demonstrate the effectiveness of the proposed method, as well as the advantages including improved dynamics, better stator current quality, and suitable robustness compared to the conventional MF-PCC strategy based on the ultra-local model under the physical parameter mismatch conditions.