一种无人太阳能飞行器路径规划方法

Q4 Energy
A. Ailon
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引用次数: 0

摘要

太阳能是满足人类社会需要的许多技术系统运行的一种可用的高质量能源。在众多应用中,在飞机上使用太阳能极具挑战性,具有许多潜在的优势。太阳能应用于飞行是可再生能源的一个很有前途的用途,特别是利用太阳能提高无人机在复杂任务中的长航时要求的可能性是非常有吸引力的。在此背景下,本文研究了恒定高度太阳能无人机的飞行路径规划问题。该模型结合了运动学方程和动力学方程,其中输入矢量的分量为推力和倾斜角。规划飞行路径在这里依赖于系统的平坦性。事实上,他的性质使我们可以在不求解非线性微分方程的情况下规划飞行路径,最重要的是将系统的动力学,飞行过程中损失的能量和吸收的太阳能联系起来。讨论了该方法的一些相关应用,并给出了数值结果。关键字。太阳能,无人机控制,运动学与动力学方程,路径规划,差分平面系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A path planning approach for unmanned solar-powered aerial vehicles
Solar energy is an available high-quality source for the operation of many technological systems that fulfil the needs of human society. Among all the many applications, the use of solar energy in aircraft is extremely challenging, with a lot of potential advantages. The application of solar energy for flight is one of the promising uses of renewable energy, and in particular the possibility of improving the long endurance requirement in complex missions of unmanned aerial vehicles (UAVs) using solar energy is very attractive. In this context, the article deals with the problem of flight path planning in solar-powered UAVs that fly at a constant altitude. The UAV model incorporates kinematic and dynamic equations where the components of the input vector are the thrust force and the bank angle. Planning the flight path relies here on the flatness property of the system. In fact, his property allows us to plan a flight path without solving non-linear differential equations, and most importantly to link the dynamics of the system, the energy lost and the solar energy absorbed during the flight. Some relevant applications of the approach are discussed, and numerical results are demonstrated. Key words. Solar energy, UAV control, kinematic & dynamic equations, path planning, differentially flat system.
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来源期刊
Renewable Energy and Power Quality Journal
Renewable Energy and Power Quality Journal Energy-Energy Engineering and Power Technology
CiteScore
0.70
自引率
0.00%
发文量
147
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