The Effect of the Forgetting Factor and Filter Length on the RLS Adaptive Control Algorithm in Shunt Active Power Filter

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Effect of the Forgetting Factor and Filter Length on the RLS Adaptive Control Algorithm in Shunt Active Power Filter

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The Effect of the Forgetting Factor and Filter Length on the RLS Adaptive Control Algorithm in Shunt Active Power Filter

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

5

Strana od-do

508-512

Název nakladatele

Technical University of Košice

Místo vydání

Košice

Místo konání akce

Slara Lesna

Datum konání akce

12. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000431847700099