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Multidisciplinary wing design of a light long endurance UAV

机译:轻型长航时无人机的多学科机翼设计

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Purpose The purpose of this paper is finding the optimal geometric parameters and developing of a method for optimizing a light unmanned aerial vehicle (UAV) wing, maximizing, at the same time, its endurance with the assumed parameters of aircraft mission. Design/methodology/approach The research is based on the experience gained by the author's contribution to the project of building medium-altitude, long-endurance class, light UAV called "Samonit". The author was responsible for the structure design, wind tunnel tests and flight tests of the "Samonit" aircraft. Based on the experience, the author was able to develop an optimization process considering various disciplines involved in the whole aircraft design topics such as aerodynamics, flight mechanics, structural stiffness and weight, aircraft stability and maneuverability. The presented methodology has a multidisciplinary nature, as in the process of optimization both aerodynamic aspects and the influence of wing geometric parameters on the wing structure and weight and the aircraft payload were taken into account. The optimal wing configuration was obtained using the genetic algorithms. Findings As a result, a set of wing geometrical parameters has been obtained that allowed for achieving twice as long endurance as compared with the initial one. Originality/value An original procedure has been developed, based on the actual design, wind tunnel tests and numerical calculations of "Samonit" aircraft, enabling the determination of optimum wing configuration for a small unmanned aircraft.
机译:目的本文的目的是找到最佳几何参数,并开发一种优化轻型无人机(UAV)机翼的方法,同时最大程度地提高其对飞机任务假定参数的承受力。设计/方法/方法这项研究是基于作者对建造称为“萨莫尼特”的中空,长寿命级轻型无人机项目的贡献而获得的经验。作者负责“萨莫尼特”飞机的结构设计,风洞测试和飞行测试。基于经验,作者能够考虑整个飞机设计主题中涉及的各个学科,例如空气动力学,飞行力学,结构刚度和重量,飞机稳定性和可操纵性,来开发优化过程。所提出的方法具有多学科的性质,因为在优化过程中,在空气动力学方面,都考虑了机翼几何参数对机翼结构,重量和飞机有效载荷的影响。使用遗传算法获得了最佳机翼配置。结果结果,获得了一组机翼几何参数,该参数允许获得与初始机翼相比更长的耐久性。独创性/价值根据“萨莫尼特”飞机的实际设计,风洞测试和数值计算,已经开发出一种原始程序,从而能够确定小型无人飞机的最佳机翼配置。

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