During the operation of permanent magnet synchronous motor (PMSM), parameter mismatches caused by timevarying motor parameters between real motor and model in predictive current controller lead to the degradation of the control performance. Presented an improved predictive current control method based on the model reference adaptive system (MRAS). d, qaxis current equation in the rotating coordinate system was utilized as a reference model in this method. Based on Popov’s hyperstability theory, online identification system of inductance and flux for PMSM was established. The identification parameters obtained were used in the predictive current control model, thus online updating of the control model parameters was achieved. Analysis and simulation results showed that this method efficiently improved the performance of predictive current control under the motor parameters change.