All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • 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

  • 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