The Influence of Weighing Factor and Prediction Horizon on the Dynamic Performance of the Model Predictive Current Control

Abstract

Model predictive current control (MPCC) has been widely studied due to its excellent performances. Generally, the weighting factor in the cost function is omitted, based on the consideration that the dimensions of id and iq are the same. Besides, many papers states that the number of predicted steps does not affect the dynamic performance. In this paper, the relationship between the dynamic performances of id and iq is studied, it is proved that the weighing factor affects the current dynamic performance obviously. A cost function that compares the last predicted currents with the reference currents is proposed, the dynamic performance can be improved with long horizon prediction. The influence of weighting factor and prediction steps on dynamic performance of MPCC are validated by experiments.