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This paper presents a novel inspection system designed to address the challenges of deploying traditional remotely operated equipment inside the vacuum chambers of fusion reactors. The system integrates an inspection unmanned aerial vehicle (UAV) with a dedicated transport platform. The UAV uses on-board Simultaneous Localization and Mapping (SLAM) and path planning algorithms for autonomous operation. We outline the workflow tailored for use in vacuum chambers. Computational Fluid Dynamics (CFD) simulations analyze aerodynamic effects during UAV launch from an annular platform, focusing on the finite near-surface effects that affect flight stability. Optimization strategies derived from CFD simulations improve the launch process and structural design. Experimental validation inside the PF6 superconducting coil enclosure confirms the system’s effectiveness for internal observation missions in next-generation fusion reactors.

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Unmanned Aerial Vehicle-Based Internal Inspection System for Fusion Reactors

  • 会议论文

  • 发表日期：

    2025年

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  • Youzhi Xu,
  • Bing Su,
  • Guodong Qin,
  • Aihong Ji

摘要

This paper presents a novel inspection system designed to address the challenges of deploying traditional remotely operated equipment inside the vacuum chambers of fusion reactors. The system integrates an inspection unmanned aerial vehicle (UAV) with a dedicated transport platform. The UAV uses on-board Simultaneous Localization and Mapping (SLAM) and path planning algorithms for autonomous operation. We outline the workflow tailored for use in vacuum chambers. Computational Fluid Dynamics (CFD) simulations analyze aerodynamic effects during UAV launch from an annular platform, focusing on the finite near-surface effects that affect flight stability. Optimization strategies derived from CFD simulations improve the launch process and structural design. Experimental validation inside the PF6 superconducting coil enclosure confirms the system’s effectiveness for internal observation missions in next-generation fusion reactors.