Open AccessRobust predictive current control for IPMSM without rotor flux information based on a discrete‐time disturbance observer
Author(s) -
Kang ShinWon,
Soh JaeHwan,
Kim RaeYoung,
Lee KuiJun,
Kim SangIl
Publication year - 2019
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2019.0252
Subject(s) - control theory (sociology) , stator , inductance , rotor (electric) , state observer , model predictive control , observer (physics) , engineering , transient (computer programming) , current (fluid) , voltage , computer science , physics , control (management) , nonlinear system , mechanical engineering , electrical engineering , artificial intelligence , quantum mechanics , operating system
This study proposes a novel robust predictive current control that is based on a discrete‐time disturbance observer for an interior permanent magnet synchronous motor (IPMSM), does not require rotor flux information. To confirm the effects of the current control response on a parameter mismatch, the parameter sensitivity for the current prediction of a conventional deadbeat predictive current control (DPCC) is analysed. With the proposed method, disturbances owing to a parameter mismatch, rotor flux term, and unmodelled dynamics are estimated using a Luenberger observer in the discrete‐time domain. The estimated disturbances are compensated with the predicted reference voltage model considering a digital delay. The stability of the proposed disturbance observer owing to a parameter mismatch of the stator resistance and d–q inductance is also analysed. The proposed method is robust against the stator resistance and an inductance variation, and an accurate predicted current control can be obtained without an offline or online estimation of the rotor flux. Compared with the conventional DPCC, the proposed method can eliminate a steady‐state current and transient state error caused by disturbances of the system. Experimental results are presented to verify the proposed control scheme even with mismatched parameters of the IPMSM.