Title :
Electrical signals parameter estimation using adaptive filtering: A comparative study
Author :
Páez, Idania S Díaz ; Pico, Hugo Ortíz ; Villalobos, María A Mantilla ; Suárez, Johann F Petit
Author_Institution :
Grupo de Investig. en Sist. de Energia Electr. (GISEL), Univ. Ind. de Santander (UIS), Bucaramanga, Colombia
Abstract :
This paper presents the implementation of adaptive LMS, RLS and Kalman filters, for real time estimation of magnitude and phase angle of distorted electrical signals. The filters performance is evaluated by means of the steady-state error, the settling time, among others, through simulations in MATLAB/Simulink. In addition, adaptive filters are implemented in the DS1104 dSPACE development board to evaluate its performance in real time. The simulation and experimental results are shown to validate the algorithms performance.
Keywords :
Kalman filters; adaptive filters; least mean squares methods; parameter estimation; recursive filters; DS1104 dSPACE development board; Kalman filter; MATLAB-Simulink; adaptive LMS filter; adaptive RMS filter; electrical signal parameter estimation; real time estimation; steady-state error; Adaptive filters; Equations; Filtering algorithms; Kalman filters; Least squares approximation; Mathematical model; Real time systems; Adaptive algorithms; Electrical signals parameters estimation; Kalman filter; Least Mean Square filter (LMS); Recursive Least Square filter (RLS);
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America (T&D-LA), 2010 IEEE/PES
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4577-0488-8
DOI :
10.1109/TDC-LA.2010.5762967
