Robust variable-gain backstepping control for nonlinear systems with real-time application to induction motor.

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Title: Robust variable-gain backstepping control for nonlinear systems with real-time application to induction motor.
Authors: ALYOUSSEF, Fadi1 fadi.youssef@kfupm.edu.sa, KAYA, İbrahim2, AKRAD, Ahmad3, SEHAB, Rabia3, MOREL, Cristina3
Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2026, Vol. 34 Issue 4, p643-660. 18p.
Subject Terms: *Backstepping control method, *Induction motors, *Model validation, *Sensitivity analysis, *Robust control, *Real-time control, *Nonlinear systems, *Adaptive control systems
Abstract: This study proposes a novel variable-gain mechanism with a minimal number of tuning parameters to enhance the performance of conventional backstepping controllers for nonlinear systems while avoiding singularity and peaking phenomena. The proposed approach is simple, computationally efficient, and well suited for real-time implementation without imposing a significant computational burden. Its effectiveness is validated through real-time experiments conducted using a dSPACE DS1104 controller board and a 7.5-kW induction motor (IM). Simulation results demonstrate that the proposed controller outperforms the conventional backstepping controller. Robustness analyses under variations in stator resistance, load inertia, and viscous friction coefficient reveal substantial reductions in the integral squared error (ISE), from 42.78 to 0.73, 67.4 to 1.38, and 3.65 to 0.53, respectively. Experimental results further confirm that the proposed method achieves superior tracking performance and enhanced robustness against disturbances compared with existing methods reported in the literature. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 195634820
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Robust variable-gain backstepping control for nonlinear systems with real-time application to induction motor.
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  Data: <searchLink fieldCode="AR" term="%22ALYOUSSEF%2C+Fadi%22">ALYOUSSEF, Fadi</searchLink><relatesTo>1</relatesTo><i> fadi.youssef@kfupm.edu.sa</i><br /><searchLink fieldCode="AR" term="%22KAYA%2C+İbrahim%22">KAYA, İbrahim</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22AKRAD%2C+Ahmad%22">AKRAD, Ahmad</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22SEHAB%2C+Rabia%22">SEHAB, Rabia</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22MOREL%2C+Cristina%22">MOREL, Cristina</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Turkish+Journal+of+Electrical+Engineering+%26+Computer+Sciences%22">Turkish Journal of Electrical Engineering & Computer Sciences</searchLink>. 2026, Vol. 34 Issue 4, p643-660. 18p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Backstepping+control+method%22">Backstepping control method</searchLink><br />*<searchLink fieldCode="DE" term="%22Induction+motors%22">Induction motors</searchLink><br />*<searchLink fieldCode="DE" term="%22Model+validation%22">Model validation</searchLink><br />*<searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br />*<searchLink fieldCode="DE" term="%22Real-time+control%22">Real-time control</searchLink><br />*<searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study proposes a novel variable-gain mechanism with a minimal number of tuning parameters to enhance the performance of conventional backstepping controllers for nonlinear systems while avoiding singularity and peaking phenomena. The proposed approach is simple, computationally efficient, and well suited for real-time implementation without imposing a significant computational burden. Its effectiveness is validated through real-time experiments conducted using a dSPACE DS1104 controller board and a 7.5-kW induction motor (IM). Simulation results demonstrate that the proposed controller outperforms the conventional backstepping controller. Robustness analyses under variations in stator resistance, load inertia, and viscous friction coefficient reveal substantial reductions in the integral squared error (ISE), from 42.78 to 0.73, 67.4 to 1.38, and 3.65 to 0.53, respectively. Experimental results further confirm that the proposed method achieves superior tracking performance and enhanced robustness against disturbances compared with existing methods reported in the literature. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.55730/1300-0632.4195
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 643
    Subjects:
      – SubjectFull: Backstepping control method
        Type: general
      – SubjectFull: Induction motors
        Type: general
      – SubjectFull: Model validation
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Robust control
        Type: general
      – SubjectFull: Real-time control
        Type: general
      – SubjectFull: Nonlinear systems
        Type: general
      – SubjectFull: Adaptive control systems
        Type: general
    Titles:
      – TitleFull: Robust variable-gain backstepping control for nonlinear systems with real-time application to induction motor.
        Type: main
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            NameFull: ALYOUSSEF, Fadi
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            NameFull: KAYA, İbrahim
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            NameFull: AKRAD, Ahmad
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            NameFull: SEHAB, Rabia
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            NameFull: MOREL, Cristina
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          Dates:
            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
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              Value: 34
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            – TitleFull: Turkish Journal of Electrical Engineering & Computer Sciences
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