Robustness Analysis and Enhancement of Deadbeat Predictive Control for Permanent Magnet Linear Synchronous Machines with Asymmetric Model

Permanent magnet linear synchronous machine (PMLSM) exhibits asymmetric electromagnetic parameters due to inherent end effect, which affects the performance of conventional deadbeat predictive current control (DPCC) method. To mitigate the impact of asymmetric parameters, this paper proposes a modified DPCC based on the asymmetric model of PMLSM accounting the asymmetry. The robustness of this proposed method is then analyzed, which reveals it can improve the robustness against asymmetric parameter mismatch. Moreover, to compensate the prediction error caused by parameter mismatches, the one-step prediction is further refined to enhance the robustness of DPCC under asymmetric conditions, and then the problem of weakened parameter robustness due to the presence of asymmetry can be resolved. In same time, even harmonics of current are effectively suppressed. Finally, the simulation results validate the robustness analysis and the effectiveness of the proposed method.