Open AccessAn Improved Model-Free Predictive Current Control Scheme for Open-Winding PMSM with Common DC Bus
Author(s) -
LI Yong-shen,
Chengning Zhang,
Xueping Li,
Ying Zhou,
Shuo Zhang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2224/1/012113
Subject(s) - control theory (sociology) , robustness (evolution) , torque , ripple , torque ripple , current (fluid) , voltage , compensation (psychology) , computer science , direct torque control , engineering , physics , induction motor , control (management) , electrical engineering , psychology , biochemistry , chemistry , artificial intelligence , psychoanalysis , gene , thermodynamics
To improve the parameter robustness of the open-winding permanent magnet synchronous motor (OW-PMSM), this paper proposes an improved model-free predictive current control (MFPCC) method. First, the first-order ultra-local model of OW-PMSM is established, which does not contain any motor parameter. Secondly, a sliding mode observer (SMO) is introduced into the model to estimate the current in d-q-0 axis. Then, to suppress the torque ripple generated by the zero-sequence current (ZSC), the central hexagonal modulation strategy and the q-axis current injection method are combined, and the compensation current that needs to be injected into the q-axis is calculated according to the estimated value of ZSC. Finally, after considering the one-step delay, the voltage reference at the next instant is calculated based on the estimated values of d-q axis current and compensation current. Simulation and experimental results indicate that the proposed method can improve the parameter robustness of OW-PMSM, and the performance of current and torque has been improved under various parameter mismatch conditions.