The Effect of the Forgetting Factor and Filter Length on the RLS Adaptive Control Algorithm in Shunt Active Power Filter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10241612" target="_blank" >RIV/61989100:27240/17:10241612 - isvavai.cz</a>
Result on the web
<a href="http://www.proceedings.com/35784.html" target="_blank" >http://www.proceedings.com/35784.html</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Effect of the Forgetting Factor and Filter Length on the RLS Adaptive Control Algorithm in Shunt Active Power Filter
Original language description
This article deals with the use Recursive Least Squares (RLS) algorithm for the management of Shunt Active Power Filter (SAPF). When using the RLS algorithm the key parameter is a suitable choice of the Forgetting Factor. The selection of the forgetting factor has a significant influence on the performance of the SAPF, i.e. on the value of the resulting Signal to Noise Ratio (SNR). The value of the forgetting factor leads to a tradeoff between the stability and the tracking ability. In a system identification setting, both the filter length and a leakage phenomenon affect the selection of the forgetting factor. Within the performed experiments were defined and visualized the 3D loss function for the RLS algorithm which defines the working area based on the value of SNR. Experimental results show that the choice of the Forgetting Factor parameter has a significant impact on the quality and speed of the estimation the compensation current.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 9th International Scientific Symposium on Electrical Power Engineering, ELEKTROENERGETIKA 2017
ISBN
978-80-553-3195-9
ISSN
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e-ISSN
neuvedeno
Number of pages
5
Pages from-to
508-512
Publisher name
Technical University of Košice
Place of publication
Košice
Event location
Slara Lesna
Event date
Sep 12, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000431847700099