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دسته بندی:
فیزیک عمومی - General Physics
سال انتشار:
2020
عنوان انگلیسی مقاله:
Efficient sizing and optimization of multirotor drones based on scaling laws and similarity models
ترجمه فارسی عنوان مقاله:
اندازه گیری موثر و بهینه سازی هواپیماهای بدون سرنشین چند موتور بر اساس قوانین مقیاس بندی و مدل های شباهت
منبع:
Sciencedirect - Elsevier - Aerospace Science and Technology, 102 (2020) 105873: 10:1016/j:ast:2020:105873
نویسنده:
S. Delbecq a,∗, M. Budinger b, A.Ochotorena b, A.Reysset b, F. Defay a
چکیده انگلیسی:
In contrast to the current overall aircraft design techniques, the design of multirotor vehicles generally
consists of skill-based selection procedures or is based on pure empirical approaches. The application of
a systemic approach provides better design performance and the possibility to rapidly assess the effect of
changes in the requirements. This paper proposes a generic and efficient sizing methodology for electric
multirotor vehicles which allows to optimize a configuration for different missions and requirements.
Starting from a set of algebraic equations based on scaling laws and similarity models, the optimization
problem representing the sizing can be formulated in many manners. The proposed methodology shows a
significant reduction in the number of function evaluations in the optimization process due to a thorough
suppression of inequality constraints when compared to initial problem formulation. The results are
validated by comparison to characteristics of existing multirotors. In addition, performance predictions
of these configurations are performed for different flight scenarios and payloads.
Keywords: Multirotor drones | UAV | Design methodology | Sizing | Monotonicity analysis | Multidisciplinary Design Optimization
قیمت: رایگان
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