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To solve the problems of a high threshold of Unmanned Aerial Vehicles (UAVs) design, strong dependence on talents, and poor human–computer interactions, we study the conceptual scheme of intelligent overall design of small electric rotor UAVs and propose the conceptual design scheme of generative artificial intelligence UAVs by applying large language model (LLM). First, we analyze the current research situation and summarize the existing challenges. We present a new methodology for intelligent overall design of UAVs, breaking through the research on overall UAVs’ design demand analysis and data processing technology, knowledge engineering-driven knowledge database construction technology, supervised model fine-tuning technology based on expert experience, and overall UAVs’ design decision and optimization technology. Finally, the technology is summarized and the future development potential is prospected. The methodology significantly improves the research and development efficiency of the intelligent overall design of small electric rotor UAVs and effectively lowers the design threshold.

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Conceptual Method of Applying LLM to Change the Overall Design of Traditional Small Electric UAVs

  • 会议论文

  • 发表日期：

    2026年

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  • Shuai Wang,
  • Bo Liu,
  • Ziliang Du

摘要

To solve the problems of a high threshold of Unmanned Aerial Vehicles (UAVs) design, strong dependence on talents, and poor human–computer interactions, we study the conceptual scheme of intelligent overall design of small electric rotor UAVs and propose the conceptual design scheme of generative artificial intelligence UAVs by applying large language model (LLM). First, we analyze the current research situation and summarize the existing challenges. We present a new methodology for intelligent overall design of UAVs, breaking through the research on overall UAVs’ design demand analysis and data processing technology, knowledge engineering-driven knowledge database construction technology, supervised model fine-tuning technology based on expert experience, and overall UAVs’ design decision and optimization technology. Finally, the technology is summarized and the future development potential is prospected. The methodology significantly improves the research and development efficiency of the intelligent overall design of small electric rotor UAVs and effectively lowers the design threshold.