Optimal sizing of electric multirotor configurations

Giulio Avanzini, Emanuele L. de Angelis, Fabrizio Giulietti, Edmondo Minisci

Research output: Contribution to conference › Proceeding

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.
LanguageEnglish
Publication statusAccepted/In press - 31 May 2018
Event8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation - University of Glasgow, Glasgow, United Kingdom
Duration: 4 Sep 2018 → 7 Sep 2018
https://easnconference.eu/i/

Conference

Conference8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation
CountryUnited Kingdom
CityGlasgow
Period4/09/18 → 7/09/18
Internet address

Fingerprint

Evolutionary algorithms

Keywords

  • evolutionary algorithms
  • optimal sizing
  • electric Vehicles
  • UAVs
  • multirotor

Cite this

Avanzini, G., de Angelis, E. L., Giulietti, F., & Minisci, E. (Accepted/In press). Optimal sizing of electric multirotor configurations. 8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation, Glasgow, United Kingdom.
Avanzini, Giulio ; de Angelis, Emanuele L. ; Giulietti, Fabrizio ; Minisci, Edmondo. / Optimal sizing of electric multirotor configurations. 8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation, Glasgow, United Kingdom.
@conference{86bd30bb4ad04f929cde521461771c42,
title = "Optimal sizing of electric multirotor configurations",
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.",
keywords = "evolutionary algorithms, optimal sizing, electric Vehicles, UAVs, multirotor",
author = "Giulio Avanzini and {de Angelis}, {Emanuele L.} and Fabrizio Giulietti and Edmondo Minisci",
year = "2018",
month = "5",
day = "31",
language = "English",
note = "8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation ; Conference date: 04-09-2018 Through 07-09-2018",
url = "https://easnconference.eu/i/",

}

Avanzini, G, de Angelis, EL, Giulietti, F & Minisci, E 2018, 'Optimal sizing of electric multirotor configurations' 8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation, Glasgow, United Kingdom, 4/09/18 - 7/09/18, .

Optimal sizing of electric multirotor configurations. / Avanzini, Giulio; de Angelis, Emanuele L.; Giulietti, Fabrizio; Minisci, Edmondo.

2018. 8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation, Glasgow, United Kingdom.

Research output: Contribution to conference › Proceeding

TY - CONF

T1 - Optimal sizing of electric multirotor configurations

AU - Avanzini, Giulio

AU - de Angelis, Emanuele L.

AU - Giulietti, Fabrizio

AU - Minisci, Edmondo

PY - 2018/5/31

Y1 - 2018/5/31

N2 - 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.

AB - 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.

KW - evolutionary algorithms

KW - optimal sizing

KW - electric Vehicles

KW - UAVs

KW - multirotor

UR - https://easnconference.eu/i/

UR - https://www.matec-conferences.org/

M3 - Proceeding

ER -

Avanzini G, de Angelis EL, Giulietti F, Minisci E. Optimal sizing of electric multirotor configurations. 2018. 8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation, Glasgow, United Kingdom.

Access to Document