A Finite Control Set Model Predictive Torque Control for Switched Reluctance Motor Drives with Adaptive Turn-off Angle

This paper presents an online adaptive method to adjust the phase turn-off angle in finite control set model predictive control (FCS-MPC) of switched reluctance motor (SRM) drives to reduce the negative torque production. The current in the inductance falling region generates negative torque which increases the torque ripple, RMS current, and reduces the efficiency, especially at high speed operation. The existing FCS-MPC needs long prediction horizon to predict and reduce the negative torque production by adjusting the turn-off angle. However, long prediction horizon substantially increases the computational burden. This paper proposes a simple online method to automatically adjust the phase turn-off angle for single prediction horizon FCS-MPC. The proposed method is validated in simulations for a three phase, 12/8, 2.3 kW SRM in the entire operating region. The comparison with the existing MPC shows the effectiveness of the proposed method in terms of efficiency and torque ripple reduction.