An Improved Extended State Observer Based Model-Free Predictive Current Control for Open-Winding Permanent Magnet Linear Synchronous Motor Drives

The traditional model predictive current control (MPCC) has the advantages of simple structure and fast response. However, when MPCC is applied to open-winding topology, it suffers from heavy calculation burden and sensitivity to motor parameters uncertainties. A simplified model-free predictive current control (MFPCC) based on extended state observer (ESO) is proposed for open-winding permanent magnet linear synchronous motor (OW-PMLSM). The proposed method predicts currents based on the ultra-local model without using any motor parameters, and thus improving the system robustness. In addition, the computational burden of MPCC applied to an open-winding topology is considerable, as the number of the possible voltage vectors is increased to 64. Aiming to reduce the computational burden, a sequential structure evaluation function is designed, which can not only reduce the calculation burden, but also eliminate the weight factor. Finally, the proposed algorithm is verified by experiments on a hardware-in-the-loop simulation platform, and the experimental results verify the effectiveness of the algorithm.