@inproceedings{fde438fd88c6482486b6d695176874b3,
title = "Finite-control-set model predictive current control for PMSM using grey prediction",
abstract = "This paper proposes a finite control set model predictive current control (FCS-MPCC) with grey prediction for surface mounted PMSM drives. The basic FCS-MPCC is combined with grey prediction to improve the dynamic performance current control. Grey system takes into account both certain and uncertain information in real system, and use the rolling optimal grey sequence to predict the control current for cost function. The performance is demonstrated in both simulation and experiment. The results illustrate that FCS-MPCC with grey prediction expresses a good current response under the load disturbance and good performance under different parameter variations. Meanwhile the steady-state performance of current can be assured.",
keywords = "grey prediction, Model predictive control, optimal control, surface mounted PMSM",
author = "Wencong Tu and Guangzhao Luo and Rong Zhang and Zhe Chen and Ralph Kennel",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 ; Conference date: 18-09-2016 Through 22-09-2016",
year = "2016",
doi = "10.1109/ECCE.2016.7855117",
language = "英语",
series = "ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings",
}