Model Predictive Current Control for PMSM Considering Current Prediction Errors

Model predictive current control (MPCC) is a typically motor-parameters-dependent method. The change of motor-parameters will bring the error between actual predicted currents and ideal predicted values and thus directly affecting the operation performance of permanent magnet synchronous motor (PMSM). To enhance the control performance of PMSM, an improved MPCC considering current prediction errors (MPCC-CPE) method is proposed. Based on the introduction of conventional MPCC method and the influence of parameter mismatch, MPCC-CPE method is put forward where the current prediction errors are calculated and cost function is updated to choose the optimal voltage vector. Finally, experiments are finished to prove that MPCC-CPE method can significantly circumvent the problem of parameter mismatch and enhance the control performance of PMSM.