Model-Free Predictive Current Control of PMSM Based on Adaptive Gain and Parallel Quasi-Resonant Extended State Observer

This paper proposes an improved model-free predictive current control (MFPCC) strategy, to get rid of both direct-current (DC) and alternative-current (AC) disturbances of permanent magnet synchronous motors (PMSMs). First, the adaptive gain (AG) is adopted with finite time gradient (FGD) method, to adaptively estimate inductance parameters, and suppress DC interference caused by controller gain mismatch. Second, parallel quasi-resonant extended state observer (PQR-ESO) is artfully integrated to enhance current tracking performance under AC disturbances. Compared to traditional MFPCC, the proposed scheme effectively mitigates current distortion caused by inverter nonlinearity and other system disturbances. Finally, to verify the effectiveness of the method, simulation comparison is carried out for validation.