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A decoupling control of composite cage rotor bearingless induction motor based on SA‐PSO support vector machine inverse.

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Title: A decoupling control of composite cage rotor bearingless induction motor based on SA‐PSO support vector machine inverse.
Authors: Lu, Chengling1 (AUTHOR), Yang, Zebin1 (AUTHOR) zbyang@ujs.edu.cn, Sun, Xiaodong2 (AUTHOR), Ding, Qifeng1 (AUTHOR), Zhao, Qian1 (AUTHOR)
Source: International Transactions on Electrical Energy Systems. Aug2021, Vol. 31 Issue 8, p1-19. 19p.
Subject Terms: *Support vector machines, *Induction motors, *Induction machinery, *Particle swarm optimization, *Simulated annealing, *Rotors, *Equations of state
Abstract: Summary: A composite cage rotor bearingless induction motor (CCR‐BIM) is a complicated system with multi‐variable, nonlinear, and strong coupling. The decoupling control among speed and flux linkage and radial displacement is the base of the stable operation based on the structure, the suspension force and the mathematical model of the CCR‐BIM. A decoupling control strategy based on simulated annealing particle swarm optimization (SA‐PSO) support vector machine (SVM) inverse is proposed for the CCR‐BIM. First, the state equation and reversibility of the system are analyzed using a CCR‐BIM mathematical model and a compounded pseudo‐linear system consisting of the inverse system constructed is decoupled into two displacement subsystems by nonlinear SVM in series with the original system, a speed subsystem, and a flux linkage subsystem. Second, the SA‐PSO is introduced to improve the precision of the prediction model. Finally, results of simulation and experimental verify that the proposed strategy not only achieves the decoupling control between the speed, radial displacement and flux linkage, but also achieves stable suspension and high performance of the CCR‐BIM. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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An: 151782876
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: A decoupling control of composite cage rotor bearingless induction motor based on SA‐PSO support vector machine inverse.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lu%2C+Chengling%22">Lu, Chengling</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Zebin%22">Yang, Zebin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zbyang@ujs.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Xiaodong%22">Sun, Xiaodong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ding%2C+Qifeng%22">Ding, Qifeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Qian%22">Zhao, Qian</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Transactions+on+Electrical+Energy+Systems%22">International Transactions on Electrical Energy Systems</searchLink>. Aug2021, Vol. 31 Issue 8, p1-19. 19p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Support+vector+machines%22">Support vector machines</searchLink><br />*<searchLink fieldCode="DE" term="%22Induction+motors%22">Induction motors</searchLink><br />*<searchLink fieldCode="DE" term="%22Induction+machinery%22">Induction machinery</searchLink><br />*<searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Simulated+annealing%22">Simulated annealing</searchLink><br />*<searchLink fieldCode="DE" term="%22Rotors%22">Rotors</searchLink><br />*<searchLink fieldCode="DE" term="%22Equations+of+state%22">Equations of state</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Summary: A composite cage rotor bearingless induction motor (CCR‐BIM) is a complicated system with multi‐variable, nonlinear, and strong coupling. The decoupling control among speed and flux linkage and radial displacement is the base of the stable operation based on the structure, the suspension force and the mathematical model of the CCR‐BIM. A decoupling control strategy based on simulated annealing particle swarm optimization (SA‐PSO) support vector machine (SVM) inverse is proposed for the CCR‐BIM. First, the state equation and reversibility of the system are analyzed using a CCR‐BIM mathematical model and a compounded pseudo‐linear system consisting of the inverse system constructed is decoupled into two displacement subsystems by nonlinear SVM in series with the original system, a speed subsystem, and a flux linkage subsystem. Second, the SA‐PSO is introduced to improve the precision of the prediction model. Finally, results of simulation and experimental verify that the proposed strategy not only achieves the decoupling control between the speed, radial displacement and flux linkage, but also achieves stable suspension and high performance of the CCR‐BIM. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/2050-7038.12988
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1
    Subjects:
      – SubjectFull: Support vector machines
        Type: general
      – SubjectFull: Induction motors
        Type: general
      – SubjectFull: Induction machinery
        Type: general
      – SubjectFull: Particle swarm optimization
        Type: general
      – SubjectFull: Simulated annealing
        Type: general
      – SubjectFull: Rotors
        Type: general
      – SubjectFull: Equations of state
        Type: general
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      – TitleFull: A decoupling control of composite cage rotor bearingless induction motor based on SA‐PSO support vector machine inverse.
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            NameFull: Lu, Chengling
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            NameFull: Yang, Zebin
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            NameFull: Sun, Xiaodong
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            NameFull: Ding, Qifeng
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            NameFull: Zhao, Qian
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            – D: 01
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 31
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            – TitleFull: International Transactions on Electrical Energy Systems
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