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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2020, Vol. 41 ›› Issue (3): 623414-623414.doi: 10.7527/S1000-6893.2019.23414

• Special Column of New Energy Flight Vehicle Technology • Previous Articles     Next Articles

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

WU Jianfa1,2,3, WANG Honglun1,2, HUANG Yu4   

  1. 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;
    2. Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100083, China;
    3. Shenyuan Honors College, Beihang University, Beijing 100083, China;
    4. School of Automation, Beijing Information Science and Technology University, Beijing 100192, China
  • Received:2019-09-02 Revised:2019-10-08 Online:2020-03-15 Published:2019-09-30
  • Supported by:
    National Natural Science Foundation of China (61175084,61673042,61803223)

Abstract: 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.

Key words: mission planning technology, solar powered unmanned aerial vehicle, flight mission in large-scale time and space spans, energy modeling, endurance evaluation, energy management strategy

CLC Number: