170 / 2021-06-18 14:22:14
Multi-objective Optimization of the Linear Induction Motor by a Hybrid Optimal Strategy
linear induction motor, multi-objective optimization, hybrid optimal strategy, multi-SVM, Kriging method
Final Paper
Siyue Wu / College of electrical engineering; Zhejiang University
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.
Important Date
  • Conference Date

    Jul 01

    2021

    to

    Jul 04

    2021

  • Jul 03 2021

    Contribution Submission Deadline

  • Nov 03 2021

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
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