A new method is described which considerably improves the performance of rotor flux model
reference adaptive system (MRAS)-based sensorless drives in the critical low and zero …

In this paper, artificial neural network (ANN) technique has been used for the estimation of
voltage THD (total harmonic distortion), and current THD, mainly from input and output …

The present contribution presents a review of the research on the use of wavelets as a
medium of fault detection and fault tolerant control of induction machines. Modeling of …

This dissertation presents a solution for embedded neural networks across many types of
hardware and for many applications. The software package presented here allows the user …

This paper presents a novel neural network-based flux observer to solve the low speed
problems associated with a model reference adaptive speed estimation scheme which is …

Inventées par Nikola Tesla à la fin du XIX siècle, les machines à induction (asynchrones)
sont des machines dont la conception est basée sur un décalage spatiotemporel identique …

In the speed-sensorless induction motor drives system, Model Reference Adaptive System
(MRAS) is the most common strategy. However, speed estimation using reactive power …

Many electronic drivers for the induction motor control are based on sensorless
technologies. This paper proposes a novel hybrid motion sensorless control system to solve …

This paper presents a comparative study of three algorithms for learning artificial neural
network. As neural estimator, back-propagation (BP) algorithm, uncorrelated real time …

In this paper, Artificial Neural Network (ANN) technique has been used for the estimation of
low order odd current harmonics mainly from input and output measurements of five different …