Efficiency improvement and torque ripple minimization of Switched Reluctance Motor using FEM and Seeker Optimization Algorithm

被引：27
|
作者：
Navardi, Mohammad Javad [1 ]
Babaghorbani, Behnaz [1 ]
Ketabi, Abbas [2 ]
机构：
[1] IAU Kashan Branch, Dept Elect Engn, Kashan 87135433, Iran
[2] Univ Kashan, Dept Elect Engn, Kashan, Iran
来源：
ENERGY CONVERSION AND MANAGEMENT | 2014年 / 78卷
关键词：
Seeker Optimization Algorithm (SOA); Genetic Algorithm (GA); Finite Element Method (FEM); Motor optimization; Switched Reluctance Motor (SRM); GLOBAL OPTIMIZATION; DESIGN; MODEL;
D O I：
10.1016/j.enconman.2013.11.001
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In this paper, performance optimization of Switched Reluctance Motor (SRM) was determined using Seeker Optimization Algorithm (SOA). The most efficient aim of the algorithm was found for maximum torque value at a minimum mass of the entire construction, following changing the geometric parameters. The optimization process was carried out using a combination of Seeker Optimization Algorithm and Finite Element Method (FEM). Fitness value was calculated by FEM analysis using COMSOL3.4, and the SOA was realized by MATLAB. The proposed method has been applied for a case study and it has been also compared with Genetic Algorithm (GA). The results show that the optimized motor using SOA had higher torque value and efficiency with lower mass and torque ripple, exhibiting the validity of this methodology for SRM design. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：237 / 244
页数：8
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