Discrete Space Vector Modulation-Based MPCC With Inductance Identification for Thrust Ripple Suppression in Linear Induction Machine

With the advantage of fast dynamic response, the model predictive current control (MPCC) strategy has been frequently adapted to linear induction machine. Unfortunately, conventional MPCC methods have high current harmonics, significant thrust ripple, and are sensitive to magnetizing inductance parameter. Thereof, a discrete space vector modulation (DSVM)-based MPCC (DSVM-MPCC) with magnetizing inductance identification for thrust ripple suppression is proposed. First, a DSVM-MPCC is proposed to suppress thrust ripple by increasing the available voltage vectors (VVs) through the VV plane division method. Then, the VV searching method is designed to reduce candidate VVs and computational burden. Second, one improved magnetizing inductance identification method based on a back electromotive force observer with dc-offset suppression is built up to enhance the parametric robustness of DSVM-MPCC. Finally, the proposed method is verified by comprehensive simulation and experiment on a 3 kW prototype.