Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints

The ability to meet a controlled time of arrival while also flying a continuous descent operation will enable environmentally friendly and fuel efficient descent operations while simultaneously maintaining airport throughput. Previous work showed that model predictive control, a guidance strategy ba...

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Detalles Bibliográficos
Autores: Dalmau Codina, Ramon|||0000-0003-3587-7331, Prats Menéndez, Xavier|||0000-0003-3717-4701, Baxley, Brian
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/359503
Acceso en línea:https://hdl.handle.net/2117/359503
https://dx.doi.org/10.3390/aerospace8120377
Access Level:acceso abierto
Palabra clave:Navigation (Aeronautics)
Trajectory optimization
Model predictive control
Continuous descent operations
Navegació aèria
Àrees temàtiques de la UPC::Aeronàutica i espai::Navegació aèria::Procediments operacionals
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spelling Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraintsDalmau Codina, Ramon|||0000-0003-3587-7331Prats Menéndez, Xavier|||0000-0003-3717-4701Baxley, BrianNavigation (Aeronautics)Trajectory optimizationModel predictive controlContinuous descent operationsNavegació aèriaÀrees temàtiques de la UPC::Aeronàutica i espai::Navegació aèria::Procediments operacionalsThe ability to meet a controlled time of arrival while also flying a continuous descent operation will enable environmentally friendly and fuel efficient descent operations while simultaneously maintaining airport throughput. Previous work showed that model predictive control, a guidance strategy based on a reiterated update of the optimal trajectory during the descent, provides excellent environmental impact mitigation figures while meeting operational constraints in the presence of modeling errors. Despite that, the computational delay associated with the solution of the trajectory optimization problem could lead to performance degradation and stability issues. This paper proposes two guidance strategies based on the theory of neighboring extremals that alleviate this problem. Parametric sensitivities are obtained by linearization of the necessary conditions of optimality along the active optimal trajectory plan to rapidly update it for small perturbations, effectively converting the complex and time consuming non-linear programming problem into a manageable quadratic programming problem. Promising results, derived from more than 4000 simulations, show that the performance of this method is comparable to that of instantaneously recalculating the optimal trajectory at each time sampleMultidisciplinary Digital Publishing Institute (MDPI)20212021-12-0120222022-01-12journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/359503https://dx.doi.org/10.3390/aerospace8120377reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3595032026-05-27T15:37:01Z
dc.title.none.fl_str_mv Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
title Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
spellingShingle Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
Dalmau Codina, Ramon|||0000-0003-3587-7331
Navigation (Aeronautics)
Trajectory optimization
Model predictive control
Continuous descent operations
Navegació aèria
Àrees temàtiques de la UPC::Aeronàutica i espai::Navegació aèria::Procediments operacionals
title_short Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
title_full Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
title_fullStr Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
title_full_unstemmed Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
title_sort Sensitivity-based non-linear model predictive control for aircraft descent operations subject to time constraints
dc.creator.none.fl_str_mv Dalmau Codina, Ramon|||0000-0003-3587-7331
Prats Menéndez, Xavier|||0000-0003-3717-4701
Baxley, Brian
author Dalmau Codina, Ramon|||0000-0003-3587-7331
author_facet Dalmau Codina, Ramon|||0000-0003-3587-7331
Prats Menéndez, Xavier|||0000-0003-3717-4701
Baxley, Brian
author_role author
author2 Prats Menéndez, Xavier|||0000-0003-3717-4701
Baxley, Brian
author2_role author
author
dc.subject.none.fl_str_mv Navigation (Aeronautics)
Trajectory optimization
Model predictive control
Continuous descent operations
Navegació aèria
Àrees temàtiques de la UPC::Aeronàutica i espai::Navegació aèria::Procediments operacionals
topic Navigation (Aeronautics)
Trajectory optimization
Model predictive control
Continuous descent operations
Navegació aèria
Àrees temàtiques de la UPC::Aeronàutica i espai::Navegació aèria::Procediments operacionals
description The ability to meet a controlled time of arrival while also flying a continuous descent operation will enable environmentally friendly and fuel efficient descent operations while simultaneously maintaining airport throughput. Previous work showed that model predictive control, a guidance strategy based on a reiterated update of the optimal trajectory during the descent, provides excellent environmental impact mitigation figures while meeting operational constraints in the presence of modeling errors. Despite that, the computational delay associated with the solution of the trajectory optimization problem could lead to performance degradation and stability issues. This paper proposes two guidance strategies based on the theory of neighboring extremals that alleviate this problem. Parametric sensitivities are obtained by linearization of the necessary conditions of optimality along the active optimal trajectory plan to rapidly update it for small perturbations, effectively converting the complex and time consuming non-linear programming problem into a manageable quadratic programming problem. Promising results, derived from more than 4000 simulations, show that the performance of this method is comparable to that of instantaneously recalculating the optimal trajectory at each time sample
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-12-01
2022
2022-01-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/359503
https://dx.doi.org/10.3390/aerospace8120377
url https://hdl.handle.net/2117/359503
https://dx.doi.org/10.3390/aerospace8120377
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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