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Transonic buffet flow adaptive control with time-variant reduced-order model.

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Title: Transonic buffet flow adaptive control with time-variant reduced-order model.
Authors: Gao, Chuanqiang1,2,3 (AUTHOR), Yang, Xinyu1,2,3 (AUTHOR), Ren, Kai1,2,3 (AUTHOR), Zhang, Weiwei1,2,3 (AUTHOR) aeroelastic@nwpu.edu.cn
Source: Journal of Fluid Mechanics. 11/10/2025, Vol. 1022, p1-50. 50p.
Subjects: Reduced-order models, Transonic flow, Flow instability, Aerofoils, Predictive control systems, Minimum variance estimation, Adaptive control systems
Abstract: Transonic buffet is a complex and strongly nonlinear unstable flow sensitive to variations in the incoming flow state. This poses great challenges for establishing accurate-enough reduced-order models, limiting the application of model-based control strategies in transonic buffet control problems. To address these challenges, this paper presents a time-variant modelling approach that incorporates rolling sampling, recursive parameter updating and inner iteration strategies under dynamic incoming flow conditions. The results demonstrate that this method successfully overcomes the difficulty in designing appropriate training signals and obtaining unstable steady base flow. Additionally, it improves the global predictive capability and identification efficiency of linear models for nonlinear flow-system responses by more than one order of magnitude. Furthermore, two adaptive control strategies – minimum variance control and generalised predictive control – are validated as effective based on the time-variant reduced-order model through numerical simulations of the transonic buffet flow over the NACA 0012 aerofoil. The adaptive controllers effectively regulate the unstable eigenvalues of the flow system, achieving the desired control outcomes. They ensure that the shock wave buffet phenomenon does not recur after control is applied, and that the actuator deflection, specifically the trailing-edge flap, returns to zero. Moreover, the control results further confirm the global instability essence of transonic buffet flow from a control perspective, thereby deepening the cognition of this nonlinear unstable flow. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Fluid Mechanics is the property of Cambridge University Press 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: 189831689
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Transonic buffet flow adaptive control with time-variant reduced-order model.
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  Data: <searchLink fieldCode="AR" term="%22Gao%2C+Chuanqiang%22">Gao, Chuanqiang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Xinyu%22">Yang, Xinyu</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ren%2C+Kai%22">Ren, Kai</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Weiwei%22">Zhang, Weiwei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> aeroelastic@nwpu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Fluid+Mechanics%22">Journal of Fluid Mechanics</searchLink>. 11/10/2025, Vol. 1022, p1-50. 50p.
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  Data: <searchLink fieldCode="DE" term="%22Reduced-order+models%22">Reduced-order models</searchLink><br /><searchLink fieldCode="DE" term="%22Transonic+flow%22">Transonic flow</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+instability%22">Flow instability</searchLink><br /><searchLink fieldCode="DE" term="%22Aerofoils%22">Aerofoils</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Minimum+variance+estimation%22">Minimum variance estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Transonic buffet is a complex and strongly nonlinear unstable flow sensitive to variations in the incoming flow state. This poses great challenges for establishing accurate-enough reduced-order models, limiting the application of model-based control strategies in transonic buffet control problems. To address these challenges, this paper presents a time-variant modelling approach that incorporates rolling sampling, recursive parameter updating and inner iteration strategies under dynamic incoming flow conditions. The results demonstrate that this method successfully overcomes the difficulty in designing appropriate training signals and obtaining unstable steady base flow. Additionally, it improves the global predictive capability and identification efficiency of linear models for nonlinear flow-system responses by more than one order of magnitude. Furthermore, two adaptive control strategies – minimum variance control and generalised predictive control – are validated as effective based on the time-variant reduced-order model through numerical simulations of the transonic buffet flow over the NACA 0012 aerofoil. The adaptive controllers effectively regulate the unstable eigenvalues of the flow system, achieving the desired control outcomes. They ensure that the shock wave buffet phenomenon does not recur after control is applied, and that the actuator deflection, specifically the trailing-edge flap, returns to zero. Moreover, the control results further confirm the global instability essence of transonic buffet flow from a control perspective, thereby deepening the cognition of this nonlinear unstable flow. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Fluid Mechanics is the property of Cambridge University Press 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:
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      – Type: doi
        Value: 10.1017/jfm.2025.10755
    Languages:
      – Code: eng
        Text: English
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        PageCount: 50
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    Subjects:
      – SubjectFull: Reduced-order models
        Type: general
      – SubjectFull: Transonic flow
        Type: general
      – SubjectFull: Flow instability
        Type: general
      – SubjectFull: Aerofoils
        Type: general
      – SubjectFull: Predictive control systems
        Type: general
      – SubjectFull: Minimum variance estimation
        Type: general
      – SubjectFull: Adaptive control systems
        Type: general
    Titles:
      – TitleFull: Transonic buffet flow adaptive control with time-variant reduced-order model.
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            NameFull: Gao, Chuanqiang
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            NameFull: Yang, Xinyu
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            NameFull: Ren, Kai
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            NameFull: Zhang, Weiwei
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            – D: 10
              M: 11
              Text: 11/10/2025
              Type: published
              Y: 2025
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