DocumentCode :
2394725
Title :
Harmonic detection with LMS adaptive notch filter and transient detection
Author :
Pereira, R.R. ; da Silva, C.H. ; Borges da Silva, L.E. ; Lambert-Torres, G.
Author_Institution :
CEFET-MG, Fed. Center of Technol. Educ. of Minas Gerais, Leopoldina, Brazil
fYear :
2011
fDate :
11-15 Sept. 2011
Firstpage :
142
Lastpage :
146
Abstract :
This paper presents the application of the adaptive filters for harmonic detection in shunt active power filters. Improve the transient response time of the adaptive filter is the final objective of the strategy. The Least Mean Square (LMS) algorithm was used to adjust the coefficients of the adaptive notch filter. An algorithm based on the Clarke Transformation was used to detect the load current amplitude transients and then modify the step-size value. Simulations using Matlab/Simulink are presented to clarify the algorithm. Also practical implementation is performed using the DSP Texas Instruments TMS320F2812 and the experimental results depicted.
Keywords :
active filters; adaptive filters; digital signal processing chips; least mean squares methods; notch filters; power harmonic filters; transforms; transient response; Clarke transformation; LMS adaptive notch filter; LMS algorithm; Matlab-Simulink simulation; TMS320F2812 DSP texas instruments; harmonic detection; least mean square algorithm; load current amplitude transient detection; shunt active power filters; step-size value; transient detection; transient response time; Active filters; Adaptive filters; Harmonic analysis; Least squares approximation; Power filters; Power harmonic filters; Adaptive filters; active power filter; adaptive notch filter; harmonic compensation; least mean square; transient detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Conference (COBEP), 2011 Brazilian
Conference_Location :
Praiamar
ISSN :
2175-8603
Print_ISBN :
978-1-4577-1644-7
Electronic_ISBN :
2175-8603
Type :
conf
DOI :
10.1109/COBEP.2011.6085204
Filename :
6085204
Link To Document :
بازگشت