Optimal electromagnetic torque of the induction motor generated automatically with Gmsh/GetDP software,International Transactions on Electrical Energy Systems

当前位置： X-MOL 学术 › Int. Trans. Electr. Energy Syst. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Optimal electromagnetic torque of the induction motor generated automatically with Gmsh/GetDP software
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2020-12-30 , DOI: 10.1002/2050-7038.12773
Juliana Almansa Malagoli ₁ , José Roberto Camacho ₂ , Mauricio Valencia Ferreira Luz ₃

Affiliation

The main objective of this paper is to optimize the electromagnetic torque of the induction motor automatically using finite elements. In addition, through use of the differential evolution algorithm, an algorithm was created that is adapted for Multi‐objective Optimization Differential Evolution (MODE). In order to validate the developed algorithm, the results were compared with the Non‐dominated Sorting Genetic Algorithm (NSGA‐II). The methodology developed is based on minimizing the cost of materials over the manufacturing process of the three‐phase induction motor, along with maximization of energy efficiency and consequently producing optimal torque. The results for the efficient machine design are divided into three parts: an analytical calculation for the preliminary result; the determination of a geometric vector variable that characterizes the mathematical model presented in an optimization and CAD generator software. Finally, a discussion is presented concerning the limitations and advantages of the project approach developed in this paper.

中文翻译：

使用Gmsh / GetDP软件自动生成的感应电动机的最佳电磁转矩

本文的主要目的是使用有限元自动优化感应电动机的电磁转矩。此外，通过使用差分进化算法，创建了一种适用于多目标优化差分进化（MODE）的算法。为了验证开发的算法，将结果与非支配排序遗传算法（NSGA-II）进行了比较。所开发的方法基于在三相感应电动机的制造过程中将材料成本降至最低，并实现了能源效率的最大化并因此产生了最佳转矩。高效机器设计的结果分为三个部分：初步结果的分析计算；确定表征优化和CAD生成器软件中提供的数学模型的几何矢量变量。最后，讨论了本文开发的项目方法的局限性和优点。

更新日期：2021-03-02

点击分享查看原文

点击收藏

公开下载

阅读更多本刊最新论文本刊介绍/投稿指南11