author_facet Avanzini, Giulio
de Angelis, Emanuele L.
Giulietti, Fabrizio
Minisci, Edmondo
Avanzini, Giulio
de Angelis, Emanuele L.
Giulietti, Fabrizio
Minisci, Edmondo
author Avanzini, Giulio
de Angelis, Emanuele L.
Giulietti, Fabrizio
Minisci, Edmondo
spellingShingle Avanzini, Giulio
de Angelis, Emanuele L.
Giulietti, Fabrizio
Minisci, Edmondo
MATEC Web of Conferences
Optimal Sizing of Electric Multirotor Configurations
author_sort avanzini, giulio
spelling Avanzini, Giulio de Angelis, Emanuele L. Giulietti, Fabrizio Minisci, Edmondo 2261-236X EDP Sciences http://dx.doi.org/10.1051/matecconf/201823300028 <jats:p>A sizing tool for the definition of the configuration of electrically powered multirotor platforms is developed, which accounts for a realistic battery discharge model. The tool is developed to provide the community with the possibility of deriving the best configuration for performing a given task, while accounting for specific constraints and performance requirements. An evolutionary algorithm is used for searching the design space and to identify feasible designs with optimal performance in terms of maximum hovering time on the target and payload weight fraction.</jats:p> Optimal Sizing of Electric Multirotor Configurations MATEC Web of Conferences
doi_str_mv 10.1051/matecconf/201823300028
facet_avail Online
Free
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA1MS9tYXRlY2NvbmYvMjAxODIzMzAwMDI4
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA1MS9tYXRlY2NvbmYvMjAxODIzMzAwMDI4
institution DE-D275
DE-Bn3
DE-Brt1
DE-Zwi2
DE-D161
DE-Gla1
DE-Zi4
DE-15
DE-Pl11
DE-Rs1
DE-105
DE-14
DE-Ch1
DE-L229
imprint EDP Sciences, 2018
imprint_str_mv EDP Sciences, 2018
issn 2261-236X
issn_str_mv 2261-236X
language Undetermined
mega_collection EDP Sciences (CrossRef)
match_str avanzini2018optimalsizingofelectricmultirotorconfigurations
publishDateSort 2018
publisher EDP Sciences
recordtype ai
record_format ai
series MATEC Web of Conferences
source_id 49
title Optimal Sizing of Electric Multirotor Configurations
title_unstemmed Optimal Sizing of Electric Multirotor Configurations
title_full Optimal Sizing of Electric Multirotor Configurations
title_fullStr Optimal Sizing of Electric Multirotor Configurations
title_full_unstemmed Optimal Sizing of Electric Multirotor Configurations
title_short Optimal Sizing of Electric Multirotor Configurations
title_sort optimal sizing of electric multirotor configurations
url http://dx.doi.org/10.1051/matecconf/201823300028
publishDate 2018
physical 00028
description <jats:p>A sizing tool for the definition of the configuration of electrically powered multirotor platforms is developed, which accounts for a realistic battery discharge model. The tool is developed to provide the community with the possibility of deriving the best configuration for performing a given task, while accounting for specific constraints and performance requirements. An evolutionary algorithm is used for searching the design space and to identify feasible designs with optimal performance in terms of maximum hovering time on the target and payload weight fraction.</jats:p>
container_start_page 0
container_title MATEC Web of Conferences
container_volume 233
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792326716316712964
geogr_code not assigned
last_indexed 2024-03-01T12:25:55.91Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Optimal+Sizing+of+Electric+Multirotor+Configurations&rft.date=2018-01-01&genre=article&issn=2261-236X&volume=233&pages=00028&jtitle=MATEC+Web+of+Conferences&atitle=Optimal+Sizing+of+Electric+Multirotor+Configurations&aulast=Minisci&aufirst=Edmondo&rft_id=info%3Adoi%2F10.1051%2Fmatecconf%2F201823300028&rft.language%5B0%5D=und
SOLR
_version_ 1792326716316712964
author Avanzini, Giulio, de Angelis, Emanuele L., Giulietti, Fabrizio, Minisci, Edmondo
author_facet Avanzini, Giulio, de Angelis, Emanuele L., Giulietti, Fabrizio, Minisci, Edmondo, Avanzini, Giulio, de Angelis, Emanuele L., Giulietti, Fabrizio, Minisci, Edmondo
author_sort avanzini, giulio
container_start_page 0
container_title MATEC Web of Conferences
container_volume 233
description <jats:p>A sizing tool for the definition of the configuration of electrically powered multirotor platforms is developed, which accounts for a realistic battery discharge model. The tool is developed to provide the community with the possibility of deriving the best configuration for performing a given task, while accounting for specific constraints and performance requirements. An evolutionary algorithm is used for searching the design space and to identify feasible designs with optimal performance in terms of maximum hovering time on the target and payload weight fraction.</jats:p>
doi_str_mv 10.1051/matecconf/201823300028
facet_avail Online, Free
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA1MS9tYXRlY2NvbmYvMjAxODIzMzAwMDI4
imprint EDP Sciences, 2018
imprint_str_mv EDP Sciences, 2018
institution DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229
issn 2261-236X
issn_str_mv 2261-236X
language Undetermined
last_indexed 2024-03-01T12:25:55.91Z
match_str avanzini2018optimalsizingofelectricmultirotorconfigurations
mega_collection EDP Sciences (CrossRef)
physical 00028
publishDate 2018
publishDateSort 2018
publisher EDP Sciences
record_format ai
recordtype ai
series MATEC Web of Conferences
source_id 49
spelling Avanzini, Giulio de Angelis, Emanuele L. Giulietti, Fabrizio Minisci, Edmondo 2261-236X EDP Sciences http://dx.doi.org/10.1051/matecconf/201823300028 <jats:p>A sizing tool for the definition of the configuration of electrically powered multirotor platforms is developed, which accounts for a realistic battery discharge model. The tool is developed to provide the community with the possibility of deriving the best configuration for performing a given task, while accounting for specific constraints and performance requirements. An evolutionary algorithm is used for searching the design space and to identify feasible designs with optimal performance in terms of maximum hovering time on the target and payload weight fraction.</jats:p> Optimal Sizing of Electric Multirotor Configurations MATEC Web of Conferences
spellingShingle Avanzini, Giulio, de Angelis, Emanuele L., Giulietti, Fabrizio, Minisci, Edmondo, MATEC Web of Conferences, Optimal Sizing of Electric Multirotor Configurations
title Optimal Sizing of Electric Multirotor Configurations
title_full Optimal Sizing of Electric Multirotor Configurations
title_fullStr Optimal Sizing of Electric Multirotor Configurations
title_full_unstemmed Optimal Sizing of Electric Multirotor Configurations
title_short Optimal Sizing of Electric Multirotor Configurations
title_sort optimal sizing of electric multirotor configurations
title_unstemmed Optimal Sizing of Electric Multirotor Configurations
url http://dx.doi.org/10.1051/matecconf/201823300028