Open AccessDisturbance‐deadbeat inductance observer‐based current predictive control for surface‐mounted permanent magnet synchronous motors drives
Author(s) -
Zhang Xiaoguang,
Cheng Yu,
Zhang Liang
Publication year - 2020
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2019.0727
Subject(s) - control theory (sociology) , inductance , model predictive control , flux linkage , robustness (evolution) , permanent magnet synchronous motor , computer science , magnet , synchronous motor , current (fluid) , engineering , control (management) , direct torque control , induction motor , voltage , artificial intelligence , electrical engineering , mechanical engineering , biochemistry , chemistry , gene
In order to improve the parameter robustness of the model predictive control (MPC), a novel current predictive control method is proposed here. Firstly, the incremental prediction model of the permanent‐magnet synchronous motor is used to predict the current of the next instant, due to the advantage of without permanent‐magnetic flux linkage parameter. Furthermore, the disturbance‐deadbeat inductance observer (DDIO) is proposed, in which the parameter disturbance at the next instant is predicted and is used as the reference to extracted inductance information. Finally, a DDIO + MPC method is developed to improve the parameter sensitivity of the predictive control. The simulation and experimental results validate the effectiveness of the proposed method.