Reactive power compensations are more prominent and challenging especially with grid
tied wind generating systems because IEEE standards such as 1159: 1995, 1250: 2011 …

In this article, a real-time moment of inertia identification technique using Petri probabilistic
fuzzy neural network with an asymmetric membership function (PPFNN-AMF) for an interior …

This paper proposes a method that estimates the parameters of a velocity-controlled servo.
A proportional-integral controller, which uses only position measurements, closes the loop …

Three-phase induction motor drive requires high accuracy in high performance processes in
industrial applications. Field oriented control, which is one of the most employed control …

This article proposes a classifier-based approximator to compensate for friction in a high
accelerated positioning system. Since friction function is globally non-smooth, an …

Cette thèse traite de l'utilisation des techniques neuronales pour l'identification et la
commande de la machine asynchrone avec une application dans un système de conversion …

This paper presents a nonlinear friction identification algorithm based on artificial neural
networks (ANNs) for a linear positioning system. An adaptive linear neuron (ADALINE) with …

Induction machine is the most popular machine in power system because of its wide range
of operations in motor as well as in generator too, and therefore, its accurate parameters …

In this paper, an adaptive neural phase-locked loop (AN-PLL) based on adaptive linear
neuron is proposed for grid-connected doubly fed induction generator (DFIG) …

A new method for adaptive ac filter parameters identification of three phase pulse-width
modulated rectifiers is presented in this paper. The proposed method is based on three …