Modelagem de um laço de histerese segundo Jiles-Atherton aplicando algoritmos genéticos

Abstract

Systems modelling is essential for engineering designs, in arder to optimize material and involved techniques in the construction of electrical machines to reduce implementation costs and to obtain better results. ln electrical machines design, the magnetization curve oi ferromagnetic materiais must be represented in a shape as accurate as possible, besides the identification oi hysteresis loop. This undergraduate thesis presents an implementation oi a genetic algorithm to model a hysteresis loop according to Jiles-Atherton and to determine its respectiva parameters. Furthermore, the genetic algorithm steps are detailed, as well as its theoretical framework. After that, algorithm implementation is performed and its results are obtained in arder to compare experimental and simulated loops. Based on the analysis of results obtained in this work, it is possible to conclude that genetic algorithms are appropriate for best parameters acquisition and the respectiva hysteresis loop oi ferromagnetic materiais. The applied method was validated as the simulated loop approached the experimental one, mainly for sigmoid cases.