Multi-objective Optimization of the Linear Induction Motor by a Hybrid Optimal Strategy
编号:170 访问权限:仅限参会人 更新:2021-06-19 16:58:51 浏览:929次 口头报告

报告开始:2021年07月02日 11:10(Asia/Shanghai)

报告时间:20min

所在会场:[S3] Concurrent Session 3 [S3-1] Oral Session 3 & 6

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摘要
This paper presents a hybrid optimization method based on the multi-Support Vector Machine (multi-SVM) and Kriging method for linear induction motors (LIMs). With this novel method, the optimal schemes can satisfy various performance specifications of LIMs after multi-objective optimization process. The raw data including structural parameters and performance indexes are obtained from finite element analysis (FEA). Utilizing multi-SVM, a global analysis model is established to observe the optimization trend under entire reference interval. With the preliminary assessment and range selection, a high-precision interval model based on Kriging method enhances the efficiency and accuracy of analysis. The adjustable objective function ultimately determines the design scheme and realizes the optimization objectives of the thrust force, thrust ripple, vertical force, current, power factor, copper loss and weight simultaneously.
关键词
linear induction motor, multi-objective optimization, hybrid optimal strategy, multi-SVM, Kriging method
报告人
Siyue Wu
College of electrical engineering; Zhejiang University

稿件作者
Siyue Wu College of electrical engineering; Zhejiang University
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重要日期
  • 会议日期

    07月01日

    2021

    07月04日

    2021

  • 07月03日 2021

    报告提交截止日期

  • 11月03日 2021

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
协办单位
University of Sydney, Australia
Southwest Jiaotong University, China
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