Model Parameter Online Correction Method of Predictive Current Control for Permanent Magnet Synchronous Motor

Predictive current control (PCC) has been widely investigated in motor control field. However, the motor prediction model in PCC is quite sensitive to motor parameters which may change under different working conditions. The mismatch between model parameters and actual motor parameters will result in current prediction error, which will greatly reduce prediction accuracy. In this paper, a model parameter online correction method based on the relationship between inductance error and current prediction error is proposed for surface permanent magnet synchronous motor (SPMSM). The main idea of the method is to directly correct the inductance value in prediction model according to current prediction error. Simulation results verify that the proposed method can effectively reduce current prediction error and improve control accuracy.