Imperial College London
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Rafael Palacios

Faculty of Engineering, Department of Aeronautics

Professor in Computational Aeroelasticity
 
 
 
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Contact

 

+44 (0)20 7594 5075r.palacios CV

 
 
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Location

 

338City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Wynn:2021:10.2514/6.2022-0442,
author = {Wynn, A and Artola, M and Palacios, R},
doi = {10.2514/6.2022-0442},
pages = {1--22},
publisher = {American Institute of Aeronautics and Astronautics},
title = {Nonlinear optimal control for gust load alleviation with a physics-constrained data-driven internal model},
url = {http://dx.doi.org/10.2514/6.2022-0442},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - A data-driven strategy is developed to improve the internal models used for predictive control in nonlinear aeroelastic applications. A nonlinear modal formulation of the structure is retained, while an identified quadratic model for both the gravitational forces and the aerodynamics are obtained from a least-squares fit with LASSO regularisation from simulated flights. This is first seen to improve the accuracy of the resulting reduced-order model for open-loop predictions on both gust response and a payload drop problem. Its superior performance as internal model for nonlinear control and estimation is finally demonstrated numerically.
AU  - Wynn,A
AU  - Artola,M
AU  - Palacios,R
DO  - 10.2514/6.2022-0442
EP  - 22
PB  - American Institute of Aeronautics and Astronautics
PY  - 2021///
SP  - 1
TI  - Nonlinear optimal control for gust load alleviation with a physics-constrained data-driven internal model
UR  - http://dx.doi.org/10.2514/6.2022-0442
UR  - https://arc.aiaa.org/doi/10.2514/6.2022-0442
UR  - http://hdl.handle.net/10044/1/94190
ER  -
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