A Weighting Factor Semi-Online Tuning Method based on Correlation Look-up Table for Model Predictive Torque Control on PMSM of EV

As the optimal values of the weighting factors in model predictive control (MPC) are continuously changing, better performance can be achieved by using the online weighting factor tuning methods. But these methods are not widely applied because of the serious calculation burden. To solve this problem, a kind of semi-online weighting factor tuning method based on a correlation look-up table (LUT) is proposed in this paper. The method that is proposed in the paper can fit a basic plant model and the coefficients of the model are online adjusted according to the operating states. Advantages of using the method that is proposed in this paper included lower speed integrated time and absolute error (ITAE), phase current total harmonic distortion (THD) and suitable calculation burden are demonstrated by the simulation and experimental results.