Optimal sizing of electric multirotor configurations

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

Research output: Contribution to conferenceProceeding

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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.
Original 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 20187 Sep 2018
https://easnconference.eu/i/

Conference

Conference8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation
CountryUnited Kingdom
CityGlasgow
Period4/09/187/09/18
Internet address

Keywords

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

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