Scholarlink

This paper presents an innovative aerostatic platform for mid-air docking and energy transfer in unmanned aerial vehicles (UAVs), addressing operational endurance challenges. The system incorporates a six-degree-of-freedom Stuart Platform [1] and a self-balancing mechanism to enable secure docking and efficient battery swapping for VTOL-capable fixed-wing UAVs. The design focuses on enhancing UAV versatility through minimal modifications to existing aircraft, utilizing commercially available components. Key features include a novel docking mechanism, an optimized battery swapping system and VTOL integration. Theoretical calculations and simulations demonstrate the platform’s potential to significantly extend UAV flight times. This research contributes to advancing UAV technology for long-duration missions and remote operations, with applications in surveillance, environmental monitoring and logistics. Future work will explore AI-driven autonomous docking and advanced materials to further improve system efficiency.

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Conceptualization of an Aerostatic Platform for Mid-Air Docking and Energy Transference Systems for Unmanned Aerial Vehicles: A Paradigm Shift in UAV Operational Endurance

  • 会议论文

  • 发表日期：

    2026年

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  • Rishi Sood,
  • Jason Joseph,
  • B. K. Nischay,
  • Kartik Tandel

摘要

This paper presents an innovative aerostatic platform for mid-air docking and energy transfer in unmanned aerial vehicles (UAVs), addressing operational endurance challenges. The system incorporates a six-degree-of-freedom Stuart Platform [1] and a self-balancing mechanism to enable secure docking and efficient battery swapping for VTOL-capable fixed-wing UAVs. The design focuses on enhancing UAV versatility through minimal modifications to existing aircraft, utilizing commercially available components. Key features include a novel docking mechanism, an optimized battery swapping system and VTOL integration. Theoretical calculations and simulations demonstrate the platform’s potential to significantly extend UAV flight times. This research contributes to advancing UAV technology for long-duration missions and remote operations, with applications in surveillance, environmental monitoring and logistics. Future work will explore AI-driven autonomous docking and advanced materials to further improve system efficiency.