Title :
A new analytical model of variable reluctance machine coupled to GA for an optimal design
Author :
Sihem, Mouellef ; Amar, Bentounsi ; Hocine, Benalla
Author_Institution :
Lab. of Electrotech. Dept., Univ. of Constantine 1, Constantine, Algeria
Abstract :
This paper presents a comprehensive program based on a novel analytical model for a variable reluctance machine (VRM) developed in Matlab-language to compute the value of the flux linkage, coenergy and instantaneous electromagnetic torque as functions of rotor position and winding currents, taking into account the non-linearity of the magnetic circuit. The models are compared with the ones obtained, for the same motor, via a 2D finite elements analysis (FEA) using Flux-2D software. The genetic algorithms (GA) and analytical model are able to determine optimal geometriy of a doubly salient 6/4 VRM with the objective function maximizing the torque with a rate of undulation maintained constant. The obtained results are discussed and shows the effectiveness of the proposed approach.
Keywords :
finite element analysis; genetic algorithms; machine windings; reluctance machines; 2D finite elements analysis; FEA; Flux-2D software; GA; Matlab-language; analytical model; coenergy; comprehensive program; doubly salient 6/4 VRM; electromagnetic torque; flux linkage; genetic algorithms; magnetic circuit; nonlinearity; objective function; optimal design; optimal geometriy; rotor position; undulation maintained constant; variable reluctance machine; winding currents; Analytical models; Genetic algorithms; Optimization; Rotors; Sociology; Stators; Torque; analytical model; genetic algorithms; matlab; optimal geometry; torque; variable reluctance motor;
Conference_Titel :
Computer and Information Technology (WCCIT), 2013 World Congress on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-0460-0
DOI :
10.1109/WCCIT.2013.6618747
