@ARTICLE{Tang_Min'an_Predictive_2022,
 author={Tang, Min'an and Wang, Chenyu and Luo, Yinhang},
 volume={vol. 71},
 number={No 2},
 journal={Archives of Electrical Engineering},
 pages={343-362},
 howpublished={online},
 year={2022},
 publisher={Polish Academy of Sciences},
 abstract={The model predictive current control (MPCC) of the permanent magnet synchronous motor (PMSM) is highly dependent on motor parameters, and a parameter mismatch will cause the system performance degradation. Therefore, a strategy based on an internal model control (IMC) observer is proposed to correct the mismatch parameters. Firstly, based on the MPCC strategy of the PMSM, according to the dynamic model of the PMSM in a rotating orthogonal coordinate system, d-axis and q-axis current IMC observers are designed, and the stability derivation is carried out. It is proved that the observer can estimate d-axis and q-axis disturbance components caused by a parameter mismatch without static error. Then, the estimated disturbance component is compensated for by the reference voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system.},
 type={Article},
 title={Predictive current control for permanent magnet synchronous motor based on internal model control observer},
 URL={http://ochroma.man.poznan.pl/Content/123209/PDF-MASTER/art05_internet.pdf},
 doi={10.24425/aee.2022.140715},
 keywords={internal model control observer, MPC, PMSM, predictive current control},
}