Discrete-Time Model Predictive Controller Using Laguerre Functions for Active Flutter Suppression of a 2D wing with a Flap Article Swipe
Tariq Darabseh
,
Abdallah Tarabulsi
,
Abdel‐Hamid I. Mourad
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/aerospace9090475
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/aerospace9090475
In this paper, a discrete-time model predictive controller using Laguerre orthonormal function-based (LMPC) for active flutter suppression of a two-dimensional wing with a flap is presented. In this work, a linear mathematical state-space model for the pitch, plunge, and flap degrees of freedom under unsteady aerodynamics is derived and used to determine the linear flutter velocity and frequency of the parameters of a selected experimental wing. To verify the model, the open-loop simulation results are compared to an experimental study using the same wing from the literature. The state-space system is then discretized and LMPC with a Kalman filter is designed and tuned using the MATLAB® simulation environment at a selected speed in the linear flutter region. The predictive control advantage of dealing with input constraints in a systematic manner is explored through a quantitative analysis of the response of both constrained and unconstrained LMPC controllers. The results indicate that theoretically both cases can give excellent performance. However, the input trajectory generated by the unconstrained LMPC is very aggressive in a way that it is considered impractical when compared to the physical limits of an experimental actuator from the literature. The potential of LMPC to achieve a reasonable performance at a significantly lower computational cost compared to the classical model predictive controller (MPC) is investigated by measuring the time required by the same computer to compute the control trajectory for both controllers. The data suggest that LMPC requires remarkably low computational power, which makes it an excellent choice for fast aeroelastic applications.
Related Topics
Concepts
Control theory (sociology)
Flutter
Trajectory
Model predictive control
Computer science
Controller (irrigation)
Aeroelasticity
Laguerre polynomials
State space
Aerodynamics
Mathematics
Engineering
Control (management)
Physics
Artificial intelligence
Mathematical analysis
Biology
Agronomy
Aerospace engineering
Statistics
Astronomy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/aerospace9090475
- https://www.mdpi.com/2226-4310/9/9/475/pdf?version=1661842854
- OA Status
- gold
- Cited By
- 8
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4293413671
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4293413671Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/aerospace9090475Digital Object Identifier
- Title
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Discrete-Time Model Predictive Controller Using Laguerre Functions for Active Flutter Suppression of a 2D wing with a FlapWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-27Full publication date if available
- Authors
-
Tariq Darabseh, Abdallah Tarabulsi, Abdel‐Hamid I. MouradList of authors in order
- Landing page
-
https://doi.org/10.3390/aerospace9090475Publisher landing page
- PDF URL
-
https://www.mdpi.com/2226-4310/9/9/475/pdf?version=1661842854Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2226-4310/9/9/475/pdf?version=1661842854Direct OA link when available
- Concepts
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Control theory (sociology), Flutter, Trajectory, Model predictive control, Computer science, Controller (irrigation), Aeroelasticity, Laguerre polynomials, State space, Aerodynamics, Mathematics, Engineering, Control (management), Physics, Artificial intelligence, Mathematical analysis, Biology, Agronomy, Aerospace engineering, Statistics, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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