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Multi-objective optimisation design of stator slot parameters for bearingless induction motors.

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Title: Multi-objective optimisation design of stator slot parameters for bearingless induction motors.
Authors: Shen, Zijun1 (AUTHOR), Yang, Zebin1 (AUTHOR), Sun, Xiaodong2 (AUTHOR), Pan, Wei1 (AUTHOR) 1000002634@ujs.edu.cn
Source: International Journal of Electronics. Feb2026, Vol. 113 Issue 2, p310-332. 23p.
Subjects: Multi-objective optimization, Torque, Taguchi methods, Operations research, Induction motors, Genetic algorithms
Abstract: In bearingless induction motors (BIM), the performance is significantly influenced by two sets of windings embedded in the stator slots for suspension and torque. To enhance the suspension and torque performance of BIMs, a multi-objective optimisation design method for BIM stator slot parameters was proposed in this paper. Firstly, based on the analysis of the mechanism for generating suspension force in BIMs and the identification of optimisation parameters for the motor's stator slots, high-sensitivity optimisation parameters had been determined through experiments using the Taguchi method and sensitivity analysis. Secondly, the BIM stator slots were modelled using the response surface methodology, combined with an enhanced multi-objective non-dominated sorting genetic algorithm (NSGA-II). A comprehensive optimisation was conducted for the high-sensitivity parameters, namely slot width Hs0, slot opening depth Hs1, and slot depth Bs0, to identify the optimal parameter combination that maximises both suspension and torque performance. The effectiveness of stator parameter optimisation was verified by comparing the motor's torque and suspension force performance before and after optimisation. Finally, a physical prototype of the optimised motor was constructed, and an experimental platform was established to test the performance of the optimised motor. Both simulation and experimental results indicated that the optimised motor experienced an increase in average suspension force, with reductions in both torque and suspension force ripple, leading to a significant enhancement in BIM performance. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electronics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 190668110
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  Label: Title
  Group: Ti
  Data: Multi-objective optimisation design of stator slot parameters for bearingless induction motors.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Shen%2C+Zijun%22">Shen, Zijun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Zebin%22">Yang, Zebin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Xiaodong%22">Sun, Xiaodong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+Wei%22">Pan, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 1000002634@ujs.edu.cn</i>
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  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electronics%22">International Journal of Electronics</searchLink>. Feb2026, Vol. 113 Issue 2, p310-332. 23p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Torque%22">Torque</searchLink><br /><searchLink fieldCode="DE" term="%22Taguchi+methods%22">Taguchi methods</searchLink><br /><searchLink fieldCode="DE" term="%22Operations+research%22">Operations research</searchLink><br /><searchLink fieldCode="DE" term="%22Induction+motors%22">Induction motors</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In bearingless induction motors (BIM), the performance is significantly influenced by two sets of windings embedded in the stator slots for suspension and torque. To enhance the suspension and torque performance of BIMs, a multi-objective optimisation design method for BIM stator slot parameters was proposed in this paper. Firstly, based on the analysis of the mechanism for generating suspension force in BIMs and the identification of optimisation parameters for the motor's stator slots, high-sensitivity optimisation parameters had been determined through experiments using the Taguchi method and sensitivity analysis. Secondly, the BIM stator slots were modelled using the response surface methodology, combined with an enhanced multi-objective non-dominated sorting genetic algorithm (NSGA-II). A comprehensive optimisation was conducted for the high-sensitivity parameters, namely slot width Hs0, slot opening depth Hs1, and slot depth Bs0, to identify the optimal parameter combination that maximises both suspension and torque performance. The effectiveness of stator parameter optimisation was verified by comparing the motor's torque and suspension force performance before and after optimisation. Finally, a physical prototype of the optimised motor was constructed, and an experimental platform was established to test the performance of the optimised motor. Both simulation and experimental results indicated that the optimised motor experienced an increase in average suspension force, with reductions in both torque and suspension force ripple, leading to a significant enhancement in BIM performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electronics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00207217.2025.2501294
    Languages:
      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 310
    Subjects:
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Torque
        Type: general
      – SubjectFull: Taguchi methods
        Type: general
      – SubjectFull: Operations research
        Type: general
      – SubjectFull: Induction motors
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
    Titles:
      – TitleFull: Multi-objective optimisation design of stator slot parameters for bearingless induction motors.
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          Name:
            NameFull: Shen, Zijun
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            NameFull: Yang, Zebin
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            NameFull: Sun, Xiaodong
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            NameFull: Pan, Wei
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          Dates:
            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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            – TitleFull: International Journal of Electronics
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