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.
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页数：5
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