Parameters sensitivity analysis of predictive current control of permanent magnet synchronous motor based on extended state observer

Compared with the traditional current control method, the Permanent magnet synchronous machine (PMSM) model predictive current control has better dynamic performance. However, the control system of PMSM is characterized by strong coupling, strong nonlinearity and time-varying parameters, which can easily lead to mismatching of the parameters of the prediction model and poor performance of the predictive control. This paper analyzes the traditional predictive current control of PMSM and the principle of predictive current control based on nonlinear extended state observer (ESO), and then analyzes the influence of electromagnetic parameter changes on the performance of current control. The simulation results show that the model predictive current control method based on the extended state observer can guarantee the accuracy of PMSM and effectively suppress the influence of the motor parameter disturbance.