Multicopter Design Optimization and Validation

This paper presents a method for optimizing the design of a multicopter unmanned aerial vehicle (UAV, also called multirotor or drone). In practice a set of datasheets is available to the designer for the various components such as battery pack, motor and propellers. The designer can not normally de...

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Main Authors: Øyvind Magnussen, Morten Ottestad, Geir Hovland
Format: Article
Language:English
Published: Norwegian Society of Automatic Control 2015-04-01
Series:Modeling, Identification and Control
Subjects:
Online Access:http://www.mic-journal.no/PDF/2015/MIC-2015-2-1.pdf
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author Øyvind Magnussen
Morten Ottestad
Geir Hovland
author_facet Øyvind Magnussen
Morten Ottestad
Geir Hovland
author_sort Øyvind Magnussen
collection DOAJ
description This paper presents a method for optimizing the design of a multicopter unmanned aerial vehicle (UAV, also called multirotor or drone). In practice a set of datasheets is available to the designer for the various components such as battery pack, motor and propellers. The designer can not normally design the parameters of the actuator system freely, but is constrained to pick components based on available datasheets. The mixed-integer programming approach is well suited to design optimization in such cases when only a discrete set of components is available. The paper also includes an experimental section where the simulated dynamic responses of optimized designs are compared against the experimental results. The paper demonstrates that mixed-integer programming is well suited to design optimization of multicopter UAVs and that the modeling assumptions match well with the experimental validation.
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spelling doaj.art-bb7e2d10490e4234a47e1d165dbaf17c2022-12-22T01:36:34ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13282015-04-01362677910.4173/mic.2015.2.1Multicopter Design Optimization and ValidationØyvind MagnussenMorten OttestadGeir HovlandThis paper presents a method for optimizing the design of a multicopter unmanned aerial vehicle (UAV, also called multirotor or drone). In practice a set of datasheets is available to the designer for the various components such as battery pack, motor and propellers. The designer can not normally design the parameters of the actuator system freely, but is constrained to pick components based on available datasheets. The mixed-integer programming approach is well suited to design optimization in such cases when only a discrete set of components is available. The paper also includes an experimental section where the simulated dynamic responses of optimized designs are compared against the experimental results. The paper demonstrates that mixed-integer programming is well suited to design optimization of multicopter UAVs and that the modeling assumptions match well with the experimental validation.http://www.mic-journal.no/PDF/2015/MIC-2015-2-1.pdfMulticoptermultirotordroneUAVmathematical modelingdesign optimizationexperimental validation
spellingShingle Øyvind Magnussen
Morten Ottestad
Geir Hovland
Multicopter Design Optimization and Validation
Modeling, Identification and Control
Multicopter
multirotor
drone
UAV
mathematical modeling
design optimization
experimental validation
title Multicopter Design Optimization and Validation
title_full Multicopter Design Optimization and Validation
title_fullStr Multicopter Design Optimization and Validation
title_full_unstemmed Multicopter Design Optimization and Validation
title_short Multicopter Design Optimization and Validation
title_sort multicopter design optimization and validation
topic Multicopter
multirotor
drone
UAV
mathematical modeling
design optimization
experimental validation
url http://www.mic-journal.no/PDF/2015/MIC-2015-2-1.pdf
work_keys_str_mv AT øyvindmagnussen multicopterdesignoptimizationandvalidation
AT mortenottestad multicopterdesignoptimizationandvalidation
AT geirhovland multicopterdesignoptimizationandvalidation