Paper Info
Title
Improved Model Predictive Current Control With Series Structure for PMSM Drives
Abstract
In order to improve the control performance of conventional finite-control-set model predictive control (FCS-MPC) method and keep the balance between the steady-state performance and switching frequency of the system, this article proposes an improved MPC method based on the conventional MPC method. First, the reference voltage vector of the next control instant is predicted to determine the candidate voltage vectors of the next two control instants. Then, an optimal vector selection way is proposed, in which candidate voltage vectors selected by the reference voltage vector and designed cost function structure in series. Moreover, the selection process of optimal voltage vector from the candidate voltage vectors is analyzed. Finally, the comparison experiments between the conventional FCS-MPC method and the proposed MPC method are conducted. And experimental results show the validity of the proposed control strategy.
Year
DOI
Venue
2022
10.1109/TIE.2021.3134088
IEEE Transactions on Industrial Electronics
Keywords
DocType
Volume
Finite-control-set model predictive control (FCS-MPC),permanent magnet synchronous motor (PMSM),steady-state performance,switching frequency
Journal
69
Issue
ISSN
Citations 
12
0278-0046
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Xiaoguang Zhang132.46
Hailong Bai200.34
Ming Cheng333947.21