Harmonic estimation using Modified ADALINE algorithm with Time-Variant Widrow — Hoff (TVWH) learning rule

Abstract

Algorithms are well developed for adaptive estimation of selected harmonic components in Digital Signal Processing. In power electronic applications, objectives like fast response of a system is of primary importance. An effective active power filtering for estimation of instantaneous harmonic components is presented in this paper. A signal processing technique using Modified Adaptive Neural Network (Modified ANN) algorithm has been proposed for harmonic estimation. Its primary function is to estimate harmonic components from selected signal (Current or Voltage) and it requires only the knowledge of the frequency of the component to be estimated. This method can be applied to a wide range of equipments. The validity of the proposed method to estimate voltage harmonics is proved with a dc/ac inverter as an example and the simulation results are compared with ADALINE algorithm for illustrating its effectiveness.