Improved Model Predictive Current Control of PMSM based on Luenberger Observer

Model predictive current control (MPCC) of PMSM is a control tactics with great potential. Compared with the traditional current control method, it has excellent advantages in simply constructed structure and dynamic reply rate. It is also applicable to the consideration of nonlinear factors and constraints of the system. However, the PMSM control system has the characteristics of strong coupling and time-varying parameters. As a result, the predictive model is apt to be mismatched, which leads to prediction error and control performance degradation of MPCC. Aiming at the problem of parameter mismatches and sampling delay, the Luenberger state observer is proposed. The simulation results show that the MPCC based on Lunberger observer can effectively suppress the influences of motor parameter disturbances, which verifies the effectiveness of the MPCC method.