Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine

This paper presents a finite control set model-based predictive current control (PCC) method with variable sampling interval for induction machine. The advantage of conventional PCC is that the optimized switching state takes place only at the beginning of a fixed sampling interval. However, its drawback is high ripples on controlled variables. Compared with traditional PCC, in the proposed PCC method the change of one optimized switching state takes place at the beginning of a variable sampling interval which can achieve a comparative performance on controlled variables. Simulation results are provided to verify the effectiveness of the proposed PCC method.