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...
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| Vydáno v: | IEEE transactions on industry applications Ročník 50; číslo 2; s. 1168 - 1176 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.03.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0093-9994, 1939-9367, 1939-9367 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Beza, Mebtu Bongiorno, Massimo |
| Author_xml | – sequence: 1 givenname: Mebtu surname: Beza fullname: Beza, Mebtu email: mebtu.beza@chalmers.se organization: Dept. of Energy & Environ., Chalmers Univ. of Technol., Gothenburg, Sweden – sequence: 2 givenname: Massimo surname: Bongiorno fullname: Bongiorno, Massimo email: massimo.bongiorno@chalmers.se organization: Dept. of Energy & Environ., Chalmers Univ. of Technol., Gothenburg, Sweden |
| BackLink | https://research.chalmers.se/publication/199227$$DView record from Swedish Publication Index (Chalmers tekniska högskola) |
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| Cites_doi | 10.1109/ECCE.2010.5617865 10.1109/TPWRD.2008.915802 10.1109/TPWRD.2007.905557 10.1109/TIE.2007.894769 10.1109/PESC.2006.1711963 10.1109/PESC.2006.1712059 10.1109/ECCE.2012.6342409 10.1109/TIE.2010.2042420 10.1109/TPWRD.2007.908751 |
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| References | ref15 ref14 ngquist (ref6) 2001; 3 ref11 beza (ref7) 2011 ref2 ngquist (ref3) 2009 ref1 ngquist (ref16) 2002 ref17 song (ref12) 2002; 2 le (ref8) 1989; h 8 (ref18) 2009 ref9 ref4 beza (ref13) 2012 ref5 str m (ref10) 1995 |
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| SubjectTerms | 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 |
| Title | Application of Recursive Least Squares Algorithm With Variable Forgetting Factor for Frequency Component Estimation in a Generic Input Signal |
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