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 language | English |
---|---|
Publication status | Accepted/In press - 31 May 2018 |
Event | 8th 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
Conference | 8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation |
---|---|
Country/Territory | United Kingdom |
City | Glasgow |
Period | 4/09/18 → 7/09/18 |
Internet address |
Keywords
- evolutionary algorithms
- optimal sizing
- electric Vehicles
- UAVs
- multirotor