AI-driven Unmanned Aerial System Conceptual Design with Configuration Selection

Hasan Karali*, Gokhan Inalhan, Antonios Tsourdos

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Özet

This paper presents an intelligent conceptual design framework for the configuration selection of aerial vehicles. In this approach, the quantitative data is brought to the earliest stage of design utilizing AI-driven analysis models and it allows to choose the most suitable one among the possible configurations. Thanks to the design optimization cycle, the initial dimensions of the main components such as the wing, tail and fuselage are more accurately provided for later design activities. At the same time, the generated structure provides a more appropriate design point selection thanks to the feedback loop in design iteration. Thus, while reducing the design cost, a significant time advantage is also provided in the design process. The paper presents a generic use case based on a high-performance combat UAV design study to demonstrate the abilities of the proposed model.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar83-84
Sayfa sayısı2
ISBN (Elektronik)9798350339840
DOI'lar
Yayın durumuYayınlandı - 2023
Harici olarak yayınlandıEvet
Etkinlik2023 IEEE Conference on Artificial Intelligence, CAI 2023 - Santa Clara, United States
Süre: 5 Haz 20236 Haz 2023

Yayın serisi

AdıProceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

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???event.eventtypes.event.conference???2023 IEEE Conference on Artificial Intelligence, CAI 2023
Ülke/BölgeUnited States
ŞehirSanta Clara
Periyot5/06/236/06/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

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