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Titel:

SUCCESSIVE KNOWLEDGE BUILDUP AND TRANSFER DURING THE ANALYSIS OF SCALED UAV WINGS BY MEANS OF MACHINE LEARNING

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Klaproth, Tim; Hornung, Mirko
Abstract:
An omnipresent conflict in aircraft design optimization is the need for fast yet accurate analysis tools. For a broad search in a design space, a trade off is required. One approach is to perform the broad search using low fidelity methods and to perform higher-fidelity calculations only at a few design points. The knowledge gained at these higher-fidelity data points can be formulated as correction factors which are to be applied to the low fidelity methods to approximate the higher-fidelity re...     »
Stichworte:
UAV, Aerodynamics, Mass Estimation, Machine Learning, Multi-Fidelity, Knowledge Transfer, ADEBO
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
ICAS 2022
Verlag / Institution:
International Council of the Aeronautical Sciences
Publikationsdatum:
06.09.2022
Jahr:
2022
Nachgewiesen in:
Scopus
Serien-ISSN:
2958-4647
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