Gravitational gliding during night without electric power is an efficient method to enhance the endurance of high-altitude solar-powered unmanned aerial vehicles. The properties of the maximum endurance path of gravitational gliding are studied in this article. The maximum endurance path problem is formulated as the problem of the maximum endurance can be sustained by unit altitude difference with the constraints of dynamic equations and aerodynamic parameters. The maximum endurance path is generated by Gauss pseudo-spectral method, and a new way to estimate co-state variables in Hamiltonian is proposed. In order to analyze the sensitivity of initial altitude and velocity of solar unmanned aerial vehicles with its endurance performance, the lift coefficient in the interval [0.4, 1.2] and flight envelopes between 0 and 30 km are investigated. The results are as follows: first, the broad range of lift coefficients can improve solar aircrafts’ long-endurance performance; second, the lower the initial altitude, the longer the gliding endurance can be sustained by unit altitude difference; third, it is possible for a solar-powered unmanned aerial vehicle to keep aloft during the whole night just by gravitational potential energy storage, but the issues with turbulence and wind would render this mode of unlimited endurance unfeasible. Thus, gravitational gliding by potential energy storage can only be partly used instead of electric energy storage in application now.


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    Title :

    Research on characteristics of gravitational gliding for high-altitude solar-powered unmanned aerial vehicles


    Contributors:
    Gao, Xian-Zhong (author) / Hou, Zhong-Xi (author) / Guo, Zheng (author) / Wang, Peng (author) / Zhang, Jun-Tao (author)


    Publication date :

    2013-12-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Research on characteristics of gravitational gliding for high-altitude solar-powered unmanned aerial vehicles

    Gao, Xian-Zhong / Hou, Zhong-Xi / Guo, Zheng et al. | Tema Archive | 2013




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