An improved predictive current control for PMLSM considering parameter variation

For the model-based control strategy, the predictive current control (PCC) requires the full knowledge of the motor parameters, which reduces the system robustness. This paper presents an optimal PCC for the permanent magnet linear synchronous motor (PMLSM). Through the information of first two switching periods, the parameter variation issue can be eliminated without impacting the performance of the current loop. The simulation and experimental results are shown to prove the correctness and effectiveness of the proposed scheme.