TITLE:
The Use of LMS and RLS Adaptive Algorithms for an Adaptive Control Method of Active Power Filter
AUTHORS:
Radek Martinek, Jan Zidek, Petr Bilik, Jakub Manas, Jiri Koziorek, Zhaosheng Teng, He Wen
KEYWORDS:
Active Power Filters; Total Harmonic Distortion; Least Mean Square; Adaptive Filtering; Recursive Least Square
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
November
14,
2013
ABSTRACT: This paper deals with the adaptive control mechanism
management meant for shunt active power filters (SAPF). Systems driven this way
are designed to improve the quality of electric power (power quality) in industrial
networks. The authors have focused on the implementation of two basic
representatives of adaptive algorithms, first, the algorithm with a
stochastic LMS (least mean square) gradient adaptation and then an algorithm with recursive RLS (recursive least square) optimal adaptation. The
system examined by the authors can be used for non-linear loads for appliances
with rapid fluctuations of the reactive and active power consumption. The
proposed system adaptively reduces distortion, falls (dip) and changes in a
supply voltage (flicker). Real signals for measurement were obtained at a
sophisticated, three-phase experimental workplace. The results of executed
experiments indicate that, with use of the certain adaptive algorithms, the
examined AHC system shows very good dynamics, resulting in a much faster
transition during the AHC connection-disconnection or during a change in
harmonic load on the network. The actual experiments are evaluated from several
points of view, mainly according to a time convergence (convergence time) and
mistakes in a stable state error (steady state error) of the investigated
adaptive algorithms and finally as a total harmonic distortion (THD). The
article presents a comparison of the most frequently used adaptive algorithms.