Title
Comparison of two black-box model identification methods applied on a VSC with LCL filter
Abstract
This work proposes and compares two multivariable identification methods that obtain the discrete state-space model of a grid-connected Voltage Source Converter with LCL filter. The two methods are based on two of the so-called subspace identification methods: the Multivariable Output Error State sPace (MOESP) and the Numerical algorithm for Subspace State Space System Identification (N4SID) methods. That kind of methods is based on the QR decomposition and the singular value decomposition (SVD) and works with black-box model structures, which are particularly flexible in the choice of the model representation. The so-obtained discrete state-space model of the converter could be used to design directly a controller for the system using advanced control techniques as optimal control, robust control, etc.
Year
DOI
Venue
2012
10.1109/IECON.2012.6389497
Montreal, QC
Keywords
Field
DocType
multivariable control systems,power convertors,power filters,power grids,singular value decomposition,state-space methods,lcl filter,moesp,n4sid method,qr decomposition,svd,vsc,black-box model identification method,controller design,discrete state-space model,grid-connected voltage source converter,multivariable identification method,multivariable output error state space,numerical algorithm for subspace state space system identification
Singular value decomposition,Control theory,Subspace topology,Control theory,Control engineering,Black box,System identification,Robust control,State space,Mathematics,QR decomposition
Conference
ISSN
ISBN
Citations 
1553-572X E-ISBN : 978-1-4673-2420-5
978-1-4673-2420-5
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Francisco Huerta1406.32
Santiago Cobreces2687.85
Francisco J. Rodriguez315319.73
c clancey400.34
i sanz551.89