Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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=S2175-91462019000100302 |
Resumo: | ABSTRACT In large-scale natural disasters and military supplies, multiple parafoils are more capable of performing actual tasks. The cooperative paths planning for multiple parafoils with different initial positions and headings is an important step in multiple parafoils airdrop, which has to satisfy multiple objectives, namely, parafoils can’t collide with each other, parafoils should rendezvous at same target area, most of parafoils need to keep alignment against wind, and planned paths should be in the range of maneuver performance constraints to ensure that every parafoil’s path is flyable. Due to more factors need to be considered, it is more difficult to plan paths for multiple parafoils than single parafoil. In this paper an improved genetic algorithm is used to solve the multi-objective cooperative paths planning problem of multiple parafoils system. Parafoils’ paths are encoded by real matrix, and the cooperative relationship between parafoils is realized by paths fitness function. The random single point crossover and Gaussian mutation are introduced to accelerate algorithm convergence rate. Finally, a simulation example is given, simulation results show that proposed method can plan feasible paths for all parafoils, meanwhile, it satisfies the requirements of anti-collision, rendezvous to target point, and keep alignment against the wind. |
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Journal of Aerospace Technology and Management (Online) |
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Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic AlgorithmMultiple parafoilsCooperative paths planningGenetic algorithmMulti-objectiveAnti-collisionAlignment against the windRendezvousABSTRACT In large-scale natural disasters and military supplies, multiple parafoils are more capable of performing actual tasks. The cooperative paths planning for multiple parafoils with different initial positions and headings is an important step in multiple parafoils airdrop, which has to satisfy multiple objectives, namely, parafoils can’t collide with each other, parafoils should rendezvous at same target area, most of parafoils need to keep alignment against wind, and planned paths should be in the range of maneuver performance constraints to ensure that every parafoil’s path is flyable. Due to more factors need to be considered, it is more difficult to plan paths for multiple parafoils than single parafoil. In this paper an improved genetic algorithm is used to solve the multi-objective cooperative paths planning problem of multiple parafoils system. Parafoils’ paths are encoded by real matrix, and the cooperative relationship between parafoils is realized by paths fitness function. The random single point crossover and Gaussian mutation are introduced to accelerate algorithm convergence rate. Finally, a simulation example is given, simulation results show that proposed method can plan feasible paths for all parafoils, meanwhile, it satisfies the requirements of anti-collision, rendezvous to target point, and keep alignment against the wind.Departamento de Ciência e Tecnologia Aeroespacial2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100302Journal of Aerospace Technology and Management v.11 2019reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v11.1005info:eu-repo/semantics/openAccessQi,ChenMin,ZhaoYanhua,JinMin,Yaoeng2019-01-03T00:00:00Zoai:scielo:S2175-91462019000100302Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2019-01-03T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false |
dc.title.none.fl_str_mv |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm |
title |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm |
spellingShingle |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm Qi,Chen Multiple parafoils Cooperative paths planning Genetic algorithm Multi-objective Anti-collision Alignment against the wind Rendezvous |
title_short |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm |
title_full |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm |
title_fullStr |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm |
title_full_unstemmed |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm |
title_sort |
Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm |
author |
Qi,Chen |
author_facet |
Qi,Chen Min,Zhao Yanhua,Jin Min,Yao |
author_role |
author |
author2 |
Min,Zhao Yanhua,Jin Min,Yao |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Qi,Chen Min,Zhao Yanhua,Jin Min,Yao |
dc.subject.por.fl_str_mv |
Multiple parafoils Cooperative paths planning Genetic algorithm Multi-objective Anti-collision Alignment against the wind Rendezvous |
topic |
Multiple parafoils Cooperative paths planning Genetic algorithm Multi-objective Anti-collision Alignment against the wind Rendezvous |
description |
ABSTRACT In large-scale natural disasters and military supplies, multiple parafoils are more capable of performing actual tasks. The cooperative paths planning for multiple parafoils with different initial positions and headings is an important step in multiple parafoils airdrop, which has to satisfy multiple objectives, namely, parafoils can’t collide with each other, parafoils should rendezvous at same target area, most of parafoils need to keep alignment against wind, and planned paths should be in the range of maneuver performance constraints to ensure that every parafoil’s path is flyable. Due to more factors need to be considered, it is more difficult to plan paths for multiple parafoils than single parafoil. In this paper an improved genetic algorithm is used to solve the multi-objective cooperative paths planning problem of multiple parafoils system. Parafoils’ paths are encoded by real matrix, and the cooperative relationship between parafoils is realized by paths fitness function. The random single point crossover and Gaussian mutation are introduced to accelerate algorithm convergence rate. Finally, a simulation example is given, simulation results show that proposed method can plan feasible paths for all parafoils, meanwhile, it satisfies the requirements of anti-collision, rendezvous to target point, and keep alignment against the wind. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
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=S2175-91462019000100302 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462019000100302 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5028/jatm.v11.1005 |
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.11 2019 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 |
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1754732532007436288 |