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Non-Intrusive parameter identification of a three-phase rectifier based on an optimization approach

Author
Rojas, G.; Riba, J.; Moreno-Eguilaz, J.M.; Candelo, C.
Type of activity
Presentation of work at congresses
Name of edition
46th Annual Conference of the IEEE Industrial Electronics Society
Date of publication
2020
Presentation's date
2020-10-20
Book of congress proceedings
IECON 2020 is the 46th Annual Conference of the IEEE Industrial Electronics Society (IES): Singapore: october 18-21, 2020: proceedings
First page
1389
Last page
1394
DOI
10.1109/IECON43393.2020.9254824
Project funding
Aircraft Electrical Model Simulation Identification and Fitting Toolbox
URL
https://ieeexplore.ieee.org/abstract/document/9254824 Open in new window
Abstract
Six-pulse diode rectifiers are widely used in many power conversion systems. In this work a non-intrusive approach for parameter identification of such power device is presented and its accuracy and performance is evaluated from experimental data. This parameter identification approach is focused on generating accurate discrete simulation models of three-phase rectifiers, although it can also be applied for health condition monitoring and diagnosis purposes. The approach presented in this paper ...
Keywords
Modelling, Non-intrusive measurements, Optimization, Parameter identification, Passive filter, Rectifier, White-box
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

Participants