Author/Authors
hamiche, larbi lselm badji-mokhtar university, Annaba, Algeria , saad, salah lselm badji-mokhtar university, Annaba, Algeria , merabet, leila lselm badji-mokhtar university, Annaba, Algeria , zaamouche, fares larbi tebessi university - faculty of science and technology - department of mining engineering, Tebessa, Algeria
Title Of Article
Adaline Neural Network and Real-Imaginary Instantaneous Powers Method for Harmonic Identification
شماره ركورد
31326
Abstract
In this paper, a shunt active power filter (SAPF) is used for reactive power compensation and harmonic current suppression. Algorithm based on (ADALINE) Neural Network and Real and Imaginary Instantaneous Powers (ANN-RIIP) is developed in order to estimate and identify the harmonic terms individually and online. This algorithm is simulated in MATLAB/Simulink environment and implemented experimental in a dSPACE 1104 controller. The results obtained by simulation are in agreement with the experimental results confirming the effectiveness of the proposed ANN-RIIP algorithm. The results have also demonstrated that the speed and accuracy of ADALINE can improve the performances of active power filters.
From Page
129
NaturalLanguageKeyword
Active Power Filter , Harmonics Currents , ADALINE Neural Network , “pq” theory , Fourier series
JournalTitle
Revue Des Sciences Et De La Technologie, Synthèse
To Page
140
JournalTitle
Revue Des Sciences Et De La Technologie, Synthèse
Link To Document