Eddy Current Analysis and Optimization Design of the Secondary of the Linear Induction Motor With an Approximation and Prediction Method
Eddy Current Analysis and Optimization Design of the Secondary of the Linear Induction Motor With an Approximation and Prediction Method
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直线感应电机次级涡流分析及近似预测法优化设计
DOI：
10.1109/tmag.2021.3073224
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发表时间：
2021-04
影响因子：
2.1
通讯作者：
Qinfen Lu
中科院分区：
文献类型：
--
作者：
Siyue Wu;Qinfen Lu
本文提出了一种高效的多目标优化模型的直线感应电机（LIM）与一种新的近似和预测策略。该方法可以快速、准确地实现优化设计，同时降低了涡流分析的计算复杂度。该模型中的样本数据是通过考虑集肤效应和边缘效应的三维有限元法（FEM）获得的。然后，采用拉丁超立方抽样（LHS）方法提取包含次级结构参数的维数数据。在此基础上，采用极限梯度提升（XGBoost）方法建立了多元分析模型。利用该分析模型，给出了几种满足结构设计合理性和性能要求的优化结构。通过有限元分析，验证了优化结构的推力、垂直力、涡流和铜损的精度。
This article presents an efficient multi-objective optimization model for linear induction motors (LIMs) with a novel approximation and prediction strategy. The proposed method can realize the optimization design with speediness and accuracy, while reducing the calculation complexity of eddy current analysis. The sample data in this model are obtained by 3-D finite-element method (FEM) considering the skin effect and edge effect. Then, the Latin hypercube sampling (LHS) method is adopted to extract dimensional data including every structural parameter of the secondary. Based on these samples, a multiple analysis model is established using eXtreme Gradient Boosting (XGBoost) method. By employing this analysis model, several optimization structures are provided satisfying the limitation and rationality of designing structure and performance requirements. The precisions of the thrust force, vertical force, eddy current, and copper loss of optimal structures are validated by FEM.
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DOI：
10.1109/iceiec.2019.8784554
发表时间：
2019-07
期刊：
2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC)
影响因子：
--
作者：
Liu Yang;Yi Li;Cheng Di
通讯作者：
Liu Yang;Yi Li;Cheng Di
影响因子：
2.1
作者：
S. E. Abdollahi;M. Mirzayee;M. Mirsalim
通讯作者：
S. E. Abdollahi;M. Mirzayee;M. Mirsalim
影响因子：
3.6
作者：
Bhati, Bhoopesh Singh;Chugh, Garvit;Bhati, Nitesh Singh
通讯作者：
Bhati, Nitesh Singh
影响因子：
1.5
作者：
Junyong Lu;Weiming Ma
通讯作者：
Junyong Lu;Weiming Ma
地铁用实心叠片背铁二次直线感应电机的受力和二次损耗研究
影响因子：
7.7
作者：
Lv Gang;Zeng Dihui;Zhou Tong;Liu Zhiming
通讯作者：
Liu Zhiming