Design Optimization of Tubular Linear Induction Motor Using Genetic Algorithm and Response Surface Methodology

被引：0

作者：

Rad, Mohammad Javad Alipour ^{[1
]}

Choolabi, Esmael Eallah ^{[1
]}

Shahalami, Hamid ^{[1
]}

机构：

[1] Univ Guilan, Dept Elect Engn, Rasht, Iran

来源：

2021 12TH POWER ELECTRONICS, DRIVE SYSTEMS, AND TECHNOLOGIES CONFERENCE (PEDSTC) | 2021年

关键词：

tubular linear induction motor; response surface methodology; genetic algorithm; finite element method; REDUCTION;

D O I：

10.1109/PEDSTC52094.2021.9405911

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper studies an optimal design of a tubular linear induction motor (TLIM) to improve motor thrust and reduce weight using the response surface methodology (RSM) and genetic algorithm (GA). RSM is used to construct an analytical model for motor weight and thrust and also enable to create of objective functions easily. To calculate the coefficients of the second-order analytical model obtained from RSM, the finite element method (FEM) is applied for numerical experiments on geometrical design variables. GA is used as a search tool to optimize the design of a tubular linear induction motor to improve motor performance and reduce weight.

引用

页码：296 / 300

页数：5

共 13 条

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