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Trajectory Generation for Autonomous Soaring UAS

Trajectory Generation for Autonomous Soaring UAS
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摘要 As unmanned aerial vehicles are expected to do more and more advanced tasks, improved range and persistence is required. This paper presents a method of using shallow layer cumulus convection to extend the range and duration of small unmanned aerial vehicles. A simulation model of an X-models XCalubur electric motor-glider is used in combination with a refined 4D parametric thermal model to simulate soaring flight. The parametric thermal model builds on previous successful models with refinements to more accurately describe the weather in northern Europe. The implementation of the variation of the MacCready setting is discussed. Methods for generating efficient trajectories are evaluated and recommendations are made regarding implementation. As unmanned aerial vehicles are expected to do more and more advanced tasks, improved range and persistence is required. This paper presents a method of using shallow layer cumulus convection to extend the range and duration of small unmanned aerial vehicles. A simulation model of an X-models XCalubur electric motor-glider is used in combination with a refined 4D parametric thermal model to simulate soaring flight. The parametric thermal model builds on previous successful models with refinements to more accurately describe the weather in northern Europe. The implementation of the variation of the MacCready setting is discussed. Methods for generating efficient trajectories are evaluated and recommendations are made regarding implementation.
出处 《International Journal of Automation and computing》 EI 2012年第3期248-256,共9页 国际自动化与计算杂志(英文版)
关键词 Unmanned aerial vehicles (UAV) unmanned aerial systems (UAS) SOARING TRAJECTORY thermal optimal HEURISTIC Unmanned aerial vehicles (UAV) unmanned aerial systems (UAS) soaring trajectory thermal optimal heuristic
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参考文献11

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