Application of Recursive Least Squares Algorithm With Variable Forgetting Factor for Frequency Component Estimation in a Generic Input Signal

Signal estimation is important for protection, system study, and control purposes. This paper deals with the application of a modified recursive least squares algorithm, based on a variable forgetting factor, for estimation of frequency components in a generic input signal. Application areas such as...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on industry applications Jg. 50; H. 2; S. 1168 - 1176
Hauptverfasser: Beza, Mebtu, Bongiorno, Massimo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptive estimation
Bandwidth
Estimation
Frequency estimation
Harmonic analysis
least squares methods
phase
phase estimation
phase-locked loops (PLLs)
Steady-state
SYSTEMS
Transient analysis
variable forgetting factor
Vectors
ISSN:0093-9994, 1939-9367, 1939-9367
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Signal estimation is important for protection, system study, and control purposes. This paper deals with the application of a modified recursive least squares algorithm, based on a variable forgetting factor, for estimation of frequency components in a generic input signal. Application areas such as synchronization and control in three- and single-phase systems for various grid conditions as well as estimation of harmonic and subsynchronous components will be discussed. Advantages of the proposed method over the available techniques in terms of estimation speed, frequency selectivity, and noise rejection capability will be described. Finally, simulation and experimental results will be used to evaluate the dynamic performance of the proposed method.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0093-9994
1939-9367
1939-9367
DOI:10.1109/TIA.2013.2279195