Design optimization of a tri-lobed solar powered stratospheric airship

Design optimization of a tri-lobed solar powered stratospheric airship
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DOI:
10.1016/j.ast.2019.05.016
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发表时间:
2019-08-01
影响因子:
5.6
通讯作者:
Pant, Rajkumar S.
Pant, Rajkumar S.
中科院分区:
工程技术1区
文献类型:
--
作者:
Manikandan, M.;Pant, Rajkumar S.

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多叶混合动力飞艇最近被认为是高空长航时应用的理想平台,人们对它的兴趣越来越大,迫切需要开发一种概念设计优化方法。的大小的方法估计太阳能电池阵列的面积,以满足能量平衡和重量/升降机平衡的约束。该方法涉及四个学科的耦合(即,环境、几何、空气动力学和能量),并考虑它们之间的相互作用。飞艇的尺寸进行了五个设计变量对应的几何形状和布局的信封和太阳能电池阵列。这种方法与基于智能的启发式算法相结合,粒子群优化算法(PSO),以获得最小面积的太阳能电池阵列的配置这样的飞艇,满足用户指定的操作要求。研究了风速、飞艇姿态和高度、地理位置和作业天数对最佳作业区域的影响。结果表明,在一年中的特定日子部署的最佳包络形状的季节和操作条件的影响。本文的研究为非常规平流层飞艇太阳电池阵的初步设计提供了参考。(C)2019 Elsevier Masson SAS。All rights reserved.
The increased interest over multi-lobed hybrid airships which have been recently identified as an ideal platform for high altitude long endurance applications urges to develop a methodology for conceptual design optimization. The sizing methodology estimates the area of solar array required to meet the constraints of energy balance and the weight/lift equilibrium. The methodology involves the coupling of four disciplines (viz., Environment, Geometry, Aerodynamics, and Energy) and accounts for their mutual interactions. Sizing of the airship is carried out in terms of five design variables corresponding to the geometry and layout of the envelope and the solar array. This methodology is coupled to an intelligence-based heuristic algorithm viz., Particle Swarm Optimization (PSO) to obtain the configuration corresponding to a minimum area of solar array for such an airship, meeting the user-specified operating requirements. The effect of wind speed, airship attitude and altitude, geographical location and day of operation on the optimum area are included in this study. The results show the effect of season and operating conditions of deployment on the optimal envelope shapes obtained for deployment on specific days of the year. This study helps in the preliminary design of solar array on an unconventional stratospheric airship. (C) 2019 Elsevier Masson SAS. All rights reserved.