AI-driven unmanned aerial system conceptual design with configuration selection

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dc.contributor.authorKarali, Hasan
dc.contributor.authorInalhan, Gokhan
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2023-09-15T11:29:41Z
dc.date.available2023-09-15T11:29:41Z
dc.date.issued2023-08-02
dc.description.abstractThis 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.en_UK
dc.identifier.citationKarali H, Inalhan G, Tsourdos A. (2023) AI-driven unmanned aerial system conceptual design with configuration selection. In: 2023 IEEE Conference on Artificial Intelligence (CAI 2023), 5-6 June 2023, Santa Clara, USA, pp. 83-84en_UK
dc.identifier.eisbn979-8-3503-3984-0
dc.identifier.isbn979-8-3503-3985-7
dc.identifier.urihttps://doi.org/10.1109/CAI54212.2023.00043
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20217
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectaircraft designen_UK
dc.subjectconceptual designen_UK
dc.subjectconfiguration selectionen_UK
dc.subjectAI-driven parametric designen_UK
dc.subjectdesign optimizationen_UK
dc.titleAI-driven unmanned aerial system conceptual design with configuration selectionen_UK
dc.typeConference paperen_UK

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