Citation:
Karali H, Inalhan G, Tsourdos A. (2024) AI-driven multidisciplinary conceptual design of unmanned aerial vehicles. In: AIAA SCITECH 2024 Forum, 8-12 January 2024, Orlando, Florida. Paper number AIAA 2024-1708
Abstract:
This paper presents a multidisciplinary conceptual design framework for unmanned aerial
vehicles based on artificial intelligence-driven analysis models. This approach leverages AI-
driven analysis models that include aerodynamics, structural mass, and radar cross-section
predictions to bring quantitative data to the initial design stage, enabling the selection of the
most appropriate configuration from various optimized concept designs. Due to the design
optimization cycle, the initial dimensions of key components such as the wing, tail, and fuselage
are provided more accurately for later design activities. Simultaneously, the generated structure
enables more suitable design point selection through the feedback loop within the design
iteration. Therefore, in addition to reducing design costs, this approach also offers a substantial
time advantage in the overall design process.