Title
A Model Predictive Control With Online Inductance Estimator For Three-Phase Vienna Rectifiers
Abstract
A model predictive control with online inductance estimator (OIEMPC) for three-phase VIENNA rectifiers is presented in this paper. An OIE adopting the dynamic filtering method and least square algorithm is proposed to further improve system robustness. In this OIE, the VIENNA rectifier pole voltages are obtained by computation utilizing the gate signals of the switching devices, AC current direction and the DC voltage, so that no additional voltage sensors are needed. Compared to the conventional MPC with finite control set (FCS-MPC), the proposed strategy can have better control performance, which effectively improves the robustness of the system. The effectiveness and correctness of the proposed OIEMPC method are demonstrated by the results of Simulink experiments.
Year
DOI
Venue
2020
10.1109/IECON43393.2020.9254979
IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
Keywords
DocType
ISSN
model predictive control, least square algorithm, online inductance estimator, VIENNA rectifier
Conference
1553-572X
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Yunhong Zhou100.34
Aimin Zhang2105.30
Hang Zhang351.92
Jingjing Huang476.60
Yudong Du500.34
Lei Zhang63512.82
Zhang Wei739253.03