DocumentCode :
1846116
Title :
Improving the convergence time of adaptive notch filters to harmonic detection
Author :
Pereira, R.R. ; da Silva, C.H. ; Da Silva, L. E Borges ; Lambert-Torres, G. ; Pinto, J.O.P.
Author_Institution :
Fed. Univ. of Itajuba - UNIFEI, Itajuba, Brazil
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
521
Lastpage :
525
Abstract :
This paper presents the application of adaptive notch filters for harmonic detection in shunt active power filters (SAPF). The orthogonal input signals to the adaptive notch filter are generated using the Clarke transformation of the load currents in such way that the Phased Looked Loop (PLL) is not necessary any more. The least mean square (LMS) and recursive least square (RLS) algorithms were used to adjust the coefficients of the adaptive notch filter. The final objective of the described strategy is to improve the speed of convergence of the adaptive notch filter, reducing the steady-state error and the transient response. All these features are very important to real time applications in active power filters. Simulations using Matlab/Simulink are presented to clarify the algorithm. Also, the implementation of the technique in a shunt active power filter is performed using the DSP Texas Instruments TMS320F2812, and the experimental results depicted.
Keywords :
active filters; adaptive filters; least mean squares methods; notch filters; power filters; recursive filters; transient response; Clarke transformation; adaptive notch filters; convergence time; harmonic detection; least mean square; recursive least square algorithms; shunt active power filters; transient response; Active filters; Adaptive filters; Filtering algorithms; Harmonic analysis; Power filters; Power harmonic filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
ISSN :
1553-572X
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2010.5675198
Filename :
5675198
Link To Document :
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