大跨时空任务背景下的太阳能无人机任务规划技术研究进展

通过任务规划技术合理的优化太阳能无人机的飞行轨迹和动力学参数，能够有效提高太阳能无人机的能量利用率，使其胜任许多大范围跨时间跨空间飞行任务。从能量建模、续航评估和能量管理策略3个方面对大跨时空任务背景下太阳能无人机任务规划技术的研究进展进行了综述。在能量建模方面，介绍了当前主流的太阳辐射模型和能量生产基本框架；在续航评估方面，分析了目前的指标设计和应用方法；在能量管理策略方面，从能量综合应用、风力滑翔机制、轨迹优化方法和面向特定任务的应用4个角度，梳理了当前的研究现状。最后，对该领域未来可能的研究方向进行了展望。

Research development of solar powered UAV mission planning technology in large-scale time and space spans

Using the mission planning technology to optimize the flight trajectory and dynamical parameters, the energy utilization of the Solar Powered Unmanned Aerial Vehicle (SUAV) can be effectively improved, making it qualified for many flight missions in large time spans and space spans. In this paper, the research development of the SUAV mission planning technology in large time spans and space spans is reviewed from the energy modeling, endurance evaluation, and energy management strategy. In energy modeling, the current mainstream solar radiation models and energy production basic frameworks are introduced. In endurance evaluation, the present index designs and application methods are analyzed. In energy management strategy, the current research status is combed through in terms of energy comprehensive utilization, gliding mechanism in wind fields, trajectory optimization method, and application for specific missions. Finally, promising research directions of this field are prospected.