This work analyzes the advantages of Artificial Neural Networks applied to sensorless control for Switched Reluctance Motors. Due to the non-linear electrical characteristics of Switched Reluctance Motors, Artificial Neural Networks perform a good tool and for torque ripple minimization in Switched Reluctance Motors. The simulation results to prove the efficiency of a multilayer perceptron in o...

The purpose of this paper is to introduce a different type of converter circuit used to drive switched reluctance motors. It continues with detailed discussion on the resonant converter armed at minimizing or eliminating the transistors switching losses. Finally the drive has been tested on a disc-type reluctance motor for the perfomance and functionality.

Translations are the most common motions in several industrial branches. Usually the linear motion is generated by belt or spindle drives using rotational motors. Elasticity and backlash are the problems that hinder the accuracy of such drives. These mechanical arrangements provide low speed only. Utilization of high performance linear motors can eliminate these problems because they generate l...

This paper presents simulation results for three phase, 6/4 poles and four phase, 8/6 poles switched reluctance motor (SRM). The main focus of this paper is to investigate the dynamic performance of switched reluctance (SR) motors. This investigation is achieved through simulation using MATLAB/SIMULINK and Fuzzy Logic Control (FLC).

The switched reluctance motor (SRM) benefits from its magnet-free nature, robust construction, low cost, flexible controls, and the ability to operate in harsh environments such as high temperatures pressure. It has received increasing attention for all-electric or multi-electric aircraft systems electric vehicles (EVs) compared with permanent magnet synchronous motors (PMSM) other AC some requ...