Induction motors (IMs) are the most used electromechanic machines in industrial
applications. Their control has become the subject of many studies since the 70 s, and there …

This study reviews hybrid models built using fuzzy systems and neural networks. Expertise
for induction motor drives, using the learning capacity of artificial neural networks, is an …

For high performance position or torque control, or for many of the different possible
approaches to torque ripple and acoustic noise reduction in a switched reluctance motor …

The paper presents an improved impressed diagnostic pulse-voltage method to estimate the
rotor position of a switched-reluctance motor (SRM) with an external rotor. The fundamental …

Position estimation using only active phase voltage and current is presented to perform high
accuracy position sensorless control of a SRM drive. By extracting the amplitude of the first …

The accurate rotor position information is very important for high performance operation of
switched reluctance motor (SRM). Traditionally, there is a mechanical rotor position sensor …

In this study, a novel idea to drive SRM from single‐phase AC supply is presented. Each
stator winding is connected in series to thyristor to form one branch. All branches are …

In the present study, position estimation of switched reluctance motor (SRM) has been
achieved on the basis of the artificial neural networks (ANNs). The ANNs can estimate the …

Switched Reluctance Motors (SRMs), Artificial Neural Networks (ANNs) perform a good tool
to sensorless control of these machines. In this paper are shown some simulation results to …

Для управления вентильным реактивным двигателем был синтезован нейроестиматор
на базе искусственной нейронной сети прямого распространения сигнала, входными …