A New Analytical Model of Variable Reluctance Machine Coupled to GA for an Optimal Design

被引：0

作者：

Sihem, Mouellef ^{[1
]}

Amar, Bentounsi ^{[1
]}

Hocine, Benalla ^{[1
]}

机构：

[1] Univ Constantine 1, Lab Electrotech Dept, LGEC, Constantine, Algeria

来源：

WORLD CONGRESS ON COMPUTER & INFORMATION TECHNOLOGY (WCCIT 2013) | 2013年

关键词：

analytical model; genetic algorithms; matlab; optimal geometry; variable reluctance motor; torque;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：5

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