Like albatross, unmanned aerial vehicles can significantly make use of wind gradient to extract energy by the flight technique named dynamic soaring. The research aims to develop a general optimization method to compute all the possible patterns of dynamic soaring with a small unmanned aerial vehicle. A direct collocation approach based on the Runge-Kutta integrator is proposed to solve the trajectory optimization problem for dynamic soaring. The optimal dynamic soaring trajectories are classified into two patterns: closed trajectory pattern and travelling trajectory pattern by applying terminal constraints of zero horizontal displacement and a certain travelling direction, respectively. Using different terminal constrains for heading angle and initial guesses in the optimization process, the former pattern can be divided into two subtypes: O-shaped and 8-shaped trajectories, while the latter one is divided into C-shaped, α-shaped, S-shaped and Ω-shaped trajectories. The characteristics of these patterns and the correlation among patterns are analyzed and discussed.


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    Titel :

    Optimal patterns of dynamic soaring with a small unmanned aerial vehicle


    Beteiligte:
    Liu, Duo-Neng (Autor:in) / Hou, Zhong-Xi (Autor:in) / Guo, Zheng (Autor:in) / Yang, Xi-Xiang (Autor:in) / Gao, Xian-Zhong (Autor:in)


    Erscheinungsdatum :

    2017-07-01


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch








    Trajectory optimization of unmanned aerial vehicle in dynamic soaring

    Zhu, Bing-Jie / Hou, Zhong-Xi / Ouyang, Hua-Jiang | SAGE Publications | 2017