Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method

Detalhes bibliográficos
Autor(a) principal: Babaei,Ali-Reza
Data de Publicação: 2021
Outros Autores: Maghsoudi,Hossein
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Aerospace Technology and Management (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100329
Resumo: ABSTRACT This paper is concerned with the three-dimensional constrained optimal path planning. To this end, an objective function is defined as the shortest trajectory length in such a way that some constraints including rough terrain avoidance, forbidden zone avoidance, initial and terminal constraints, allowable altitude constraint and maximum allowable curvature of trajectory are satisfied. These leads to a challenging problem for aircraft guidance and control that solution requires great experience, skill, accuracy, and a powerful strategy. For this purpose, pseudospectral technique, which is one of the direct methods, is applied in this paper based on the Chebyshev nodes through which the complexity of the problem is reduced by transforming the optimal control problem into the parametric optimization one. The efficacy of the proposed method is demonstrated by extensive simulations, and it is particularly verified that this method is able to produce a solution satisfying all hard constraints of the underlying problem.
id DCTA-1_a4399484f29d1e18054a34c0c5fe4b2b
oai_identifier_str oai:scielo:S2175-91462021000100329
network_acronym_str DCTA-1
network_name_str Journal of Aerospace Technology and Management (Online)
repository_id_str
spelling Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization methodTerrain followingTerrain avoidanceThree-dimensional trajectoryPseudospectral optimizationABSTRACT This paper is concerned with the three-dimensional constrained optimal path planning. To this end, an objective function is defined as the shortest trajectory length in such a way that some constraints including rough terrain avoidance, forbidden zone avoidance, initial and terminal constraints, allowable altitude constraint and maximum allowable curvature of trajectory are satisfied. These leads to a challenging problem for aircraft guidance and control that solution requires great experience, skill, accuracy, and a powerful strategy. For this purpose, pseudospectral technique, which is one of the direct methods, is applied in this paper based on the Chebyshev nodes through which the complexity of the problem is reduced by transforming the optimal control problem into the parametric optimization one. The efficacy of the proposed method is demonstrated by extensive simulations, and it is particularly verified that this method is able to produce a solution satisfying all hard constraints of the underlying problem.Departamento de Ciência e Tecnologia Aeroespacial2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100329Journal of Aerospace Technology and Management v.13 2021reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.1590/jatm.v13.1170info:eu-repo/semantics/openAccessBabaei,Ali-RezaMaghsoudi,Hosseineng2021-08-16T00:00:00Zoai:scielo:S2175-91462021000100329Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2021-08-16T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false
dc.title.none.fl_str_mv Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
title Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
spellingShingle Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
Babaei,Ali-Reza
Terrain following
Terrain avoidance
Three-dimensional trajectory
Pseudospectral optimization
title_short Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
title_full Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
title_fullStr Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
title_full_unstemmed Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
title_sort Aircraft three-dimensional hardconstrained trajectory planning using pseudospectral optimization method
author Babaei,Ali-Reza
author_facet Babaei,Ali-Reza
Maghsoudi,Hossein
author_role author
author2 Maghsoudi,Hossein
author2_role author
dc.contributor.author.fl_str_mv Babaei,Ali-Reza
Maghsoudi,Hossein
dc.subject.por.fl_str_mv Terrain following
Terrain avoidance
Three-dimensional trajectory
Pseudospectral optimization
topic Terrain following
Terrain avoidance
Three-dimensional trajectory
Pseudospectral optimization
description ABSTRACT This paper is concerned with the three-dimensional constrained optimal path planning. To this end, an objective function is defined as the shortest trajectory length in such a way that some constraints including rough terrain avoidance, forbidden zone avoidance, initial and terminal constraints, allowable altitude constraint and maximum allowable curvature of trajectory are satisfied. These leads to a challenging problem for aircraft guidance and control that solution requires great experience, skill, accuracy, and a powerful strategy. For this purpose, pseudospectral technique, which is one of the direct methods, is applied in this paper based on the Chebyshev nodes through which the complexity of the problem is reduced by transforming the optimal control problem into the parametric optimization one. The efficacy of the proposed method is demonstrated by extensive simulations, and it is particularly verified that this method is able to produce a solution satisfying all hard constraints of the underlying problem.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100329
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100329
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/jatm.v13.1170
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
dc.source.none.fl_str_mv Journal of Aerospace Technology and Management v.13 2021
reponame:Journal of Aerospace Technology and Management (Online)
instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron:DCTA
instname_str Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron_str DCTA
institution DCTA
reponame_str Journal of Aerospace Technology and Management (Online)
collection Journal of Aerospace Technology and Management (Online)
repository.name.fl_str_mv Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
repository.mail.fl_str_mv ||secretary@jatm.com.br
_version_ 1754732532401700864