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.

Optimal sizing of electric multirotor configurations / Avanzini, Giulio*; De Angelis, Emanuele L.; Giulietti, Fabrizio; Minisci, Edmondo. - In: MATEC WEB OF CONFERENCES. - ISSN 2261-236X. - STAMPA. - 233:(2018), pp. 00028.1-00028.8. (Intervento presentato al convegno 8th EASN-CEAS International Workshop on Manufacturing for Growth and Innovation tenutosi a gbr nel 2018) [10.1051/matecconf/201823300028].

Optimal sizing of electric multirotor configurations

Avanzini, Giulio
;
De Angelis, Emanuele L.;Giulietti, Fabrizio;
2018

Abstract

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.
2018
MATEC Web of Conferences
1
8
Optimal sizing of electric multirotor configurations / Avanzini, Giulio*; De Angelis, Emanuele L.; Giulietti, Fabrizio; Minisci, Edmondo. - In: MATEC WEB OF CONFERENCES. - ISSN 2261-236X. - STAMPA. - 233:(2018), pp. 00028.1-00028.8. (Intervento presentato al convegno 8th EASN-CEAS International Workshop on Manufacturing for Growth and Innovation tenutosi a gbr nel 2018) [10.1051/matecconf/201823300028].
Avanzini, Giulio*; De Angelis, Emanuele L.; Giulietti, Fabrizio; Minisci, Edmondo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/658940
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