医疗无人机综述：从飞行动力学、导航与控制视角
A Survey of Medical Drones from Flight Dynamics, Guidance, Navigation, and Control Perspectives
AI总结：
本文从飞行动力学、导航与控制角度综述医疗无人机，探讨任务需求、载具设计、GNC算法及优化方向。
摘要：
无人机融入医疗领域已通过快速运输医疗物资、器官甚至在偏远或灾后地区提供紧急援助而革新了医疗配送。尽管其他综述论文关注医疗供应链、运营和紧急医疗响应方面，本文从飞行动力学和导航与控制（GNC）系统角度提供对医疗无人机的全面回顾。我们首先讨论医疗空中配送任务需求和适合的无人驾驶航空系统（UAS）配置。然后探讨载具容器设计和优化及其对物资和整体飞行动力学的影响。我们还探索GNC在医疗无人机操作中的基本原理，突出振动、空气温度、压力和湿度等影响医疗物资质量的关键挑战。本文考察了各种GNC算法以缓解这些挑战以及这些算法的局限性。基于这些考虑，本文旨在为医疗无人机的GNC框架优化提供见解，强调研究空白和改进现实医疗应用的方向。
英文摘要：
The integration of drones into the medical field has revolutionized healthcare delivery by enabling rapid transportation of medical supplies, organs, and even emergency assistance in remote or disaster-stricken areas. While other survey papers focus on the healthcare supply chain, operations, and medical emergency response aspects, this paper provides a comprehensive review of medical drones from the perspectives of flight dynamics and guidance, navigation, and control (GNC) systems. We first discuss the medical aerial delivery mission requirements and suitable uncrewed aerial system (UAS) configurations. We then address payload container design and optimization, and its effect on supplies and overall flight dynamics. We also explore the fundamental principles of GNC in the context of medical drone operations, highlighting key challenges arising from vibration, air temperature, pressure, and humidity, which affect the quality of medical supplies. The paper examines various GNC algorithms that can mitigate these challenges, as well as the algorithms' limitations. With these considerations, this survey aims to provide insights into optimizing GNC frameworks for medical drones, emphasizing research gaps and directions to improve real-world healthcare applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
