A parameter-free sliding mode predictive current control method is proposed to address the challenge of parameter mismatch in permanent magnet linear synchronous motor (PMLSM) driven systems. By combining model predictive control, the PMLSM drive systems retain good performance, even when confronted with distorted input voltage waveforms. Furthermore, a cost function for parameter-free current control is constructed, thereby eliminating the dependency of model predictive control on parameter accuracy. Secondly, to further improve its control performance, a weighting strategy is integrated into the model predictive control method. The simulation results show that the proposed method can maintain good control performance of the PMLSM drive systems under parameter mismatch, significantly enhancing system robustness and possessing practical engineering significance.

Permanent magnet linear synchronous motor (PMLSM), sliding mode predictive current control, parameter-free, cost function, robustness.