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Nonlinear Robust Excitation Controller Design for Synchronous Generators Using Improved Slime Mould Algorithm.

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Title: Nonlinear Robust Excitation Controller Design for Synchronous Generators Using Improved Slime Mould Algorithm.
Authors: Zhang, Liyang1 (AUTHOR), Li, Xia1,2 (AUTHOR), Song, Zhuoli1 (AUTHOR), Sun, Yinghe1,2 (AUTHOR), Zou, Yidong2 (AUTHOR) yidongzou@whu.edu.cn
Source: Energies (19961073). Mar2026, Vol. 19 Issue 6, p1414. 22p.
Subject Terms: *Robust control, *Synchronous generators, *Nonlinear control theory, *Linear matrix inequalities, *Electric power system stability, *Voltage regulators, *Optimization algorithms
Abstract: This paper proposes a nonlinear robust H∞ excitation controller based on an improved slime mould optimization algorithm (ISMA) to enhance the stability and anti-disturbance performance of synchronous generators (SGs) in power systems. First, a nonlinear dynamic model of the excitation system (ES) is established based on the electromechanical coupling mechanism of SGs, and it is transformed into an equivalent linear state-space form through feedback linearization. Subsequently, a controller design framework with linear matrix inequality (LMI) constraints satisfying H∞ performance indicators is constructed, and ISMA is utilized to optimize the key design parameters, thereby balancing dynamic response and control robustness. Simulation results demonstrate that, compared with traditional excitation control strategies, the proposed method exhibits superior comprehensive performance in terms of transient response speed, steady-state regulation accuracy, and robust performance under parameter perturbations and disturbance conditions. The research results can provide a technical reference for achieving safe and stable operation of SGs in power grids. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 192592588
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Nonlinear Robust Excitation Controller Design for Synchronous Generators Using Improved Slime Mould Algorithm.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Liyang%22">Zhang, Liyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xia%22">Li, Xia</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Zhuoli%22">Song, Zhuoli</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Yinghe%22">Sun, Yinghe</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zou%2C+Yidong%22">Zou, Yidong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yidongzou@whu.edu.cn</i>
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  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Mar2026, Vol. 19 Issue 6, p1414. 22p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br />*<searchLink fieldCode="DE" term="%22Synchronous+generators%22">Synchronous generators</searchLink><br />*<searchLink fieldCode="DE" term="%22Nonlinear+control+theory%22">Nonlinear control theory</searchLink><br />*<searchLink fieldCode="DE" term="%22Linear+matrix+inequalities%22">Linear matrix inequalities</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+system+stability%22">Electric power system stability</searchLink><br />*<searchLink fieldCode="DE" term="%22Voltage+regulators%22">Voltage regulators</searchLink><br />*<searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper proposes a nonlinear robust H∞ excitation controller based on an improved slime mould optimization algorithm (ISMA) to enhance the stability and anti-disturbance performance of synchronous generators (SGs) in power systems. First, a nonlinear dynamic model of the excitation system (ES) is established based on the electromechanical coupling mechanism of SGs, and it is transformed into an equivalent linear state-space form through feedback linearization. Subsequently, a controller design framework with linear matrix inequality (LMI) constraints satisfying H∞ performance indicators is constructed, and ISMA is utilized to optimize the key design parameters, thereby balancing dynamic response and control robustness. Simulation results demonstrate that, compared with traditional excitation control strategies, the proposed method exhibits superior comprehensive performance in terms of transient response speed, steady-state regulation accuracy, and robust performance under parameter perturbations and disturbance conditions. The research results can provide a technical reference for achieving safe and stable operation of SGs in power grids. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/en19061414
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 1414
    Subjects:
      – SubjectFull: Robust control
        Type: general
      – SubjectFull: Synchronous generators
        Type: general
      – SubjectFull: Nonlinear control theory
        Type: general
      – SubjectFull: Linear matrix inequalities
        Type: general
      – SubjectFull: Electric power system stability
        Type: general
      – SubjectFull: Voltage regulators
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
    Titles:
      – TitleFull: Nonlinear Robust Excitation Controller Design for Synchronous Generators Using Improved Slime Mould Algorithm.
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            NameFull: Zhang, Liyang
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            NameFull: Song, Zhuoli
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            NameFull: Sun, Yinghe
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            NameFull: Zou, Yidong
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            – D: 15
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 6
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            – TitleFull: Energies (19961073)
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