Scaling laws and similarity models for the preliminary design of multirotor drones

被引:21
作者
Budinger, M. [1 ]
Reysset, A. [1 ]
Ochotorena, A. [1 ]
Delbecq, S. [2 ]
机构
[1] Univ Toulouse, CNRS, Mines ALBI, ISAE SUPAERO,ICA,UPS,INSA, 3 Rue Caroline Aigle, F-31400 Toulouse, France
[2] Univ Toulouse, ISAE SUPAERO, 10 Ave Edouard Belin, F-31400 Toulouse, France
关键词
Multirotor drones; Scaling laws; Dimensional analysis; Surrogate models; Propulsion system; Landing gear; DIMENSIONAL ANALYSIS;
D O I
10.1016/j.ast.2019.105658
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Multirotor drones modelling and parameter estimation have gained great interest because of their vast application for civil, industrial, military and agricultural purposes. At the preliminary design level the challenge is to develop lightweight models which remain representative of the physical laws and the system interdependencies. Based on the dimensional analysis, this paper presents a variety of modelling approaches for the estimation of the functional parameters and characteristics of the key components of the system. Through this work a solid framework is presented for helping bridge the gaps between optimizing idealized models and selecting existing components from a database. Special interest is given to the models in terms of reliability and error. The results are compared for various existing drone platforms with different requirements and their differences discussed. (C) 2020 Elsevier Masson SAS. All rights reserved.
引用
收藏
页数:15
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