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

Radek Martinek
VSB-Technical University of Ostrava

Petr Bilík
VSB-Technical University of Ostrava

Jan Nedoma
VSB-Technical University of Ostrava

Marcel Fajkus
VSB-Technical University of Ostrava

Ludvik Koval
VSB-Technical University of Ostrava

Radana Kahankova
VSB-Technical University of Ostrava

Jan Vanus
VSB-Technical University of Ostrava


     Last modified: 2017-05-09

Abstract
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 total harmonic distortion (THD). 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 THD. 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.
Keywords: Recursive Least Squares, Forgetting Factor, Total Harmonic Distortion, Shunt Active Power Filter (SAPF).

 

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