A Current Ripple Suppression Strategy for Model Predictive Current Control With an Improved Model of PMSM

In this paper, a novel current ripple suppression strategy for model predictive current control (MPCC) with an improved model of permanent magnet synchronous motor (PMSM) is proposed. Typically, the current ripple optimization focuses solely on the control algorithm, overlooking the contribution of PMSM-induced ripple. Due to the cogging effect and topology, the back electromotive force (B-EMF) of PMSM is not an ideal sine waveform. Furthermore, the iron loss is neglected by using the ideal model of PMSM, resulting in the electromagnetic torque calculated according to the ideal model being higher than that of the actual model. Therefore, the model of PMSM considering iron core saturation, iron loss and non-standard sine B-EMF is established. Additionally, a new torque error prediction strategy based on MPCC is proposed to reduce the current ripple, which utilizes the error between the reference torque and the actual torque to predict compensation voltage to diminish current harmonics. The effectiveness of the proposed method in this paper is verified by theory and experiments.