基于粒子群的小型无人机低雷诺数工况翼型优化

2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR) Pub Date : 2017-08-01 DOI:10.1109/MMAR.2017.8046835

Tom Kusznir, J. Smoczek

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引用次数: 1

摘要

研究了低雷诺数小型无人机翼型模型的粒子群优化问题。要最大化的目标函数是在不同惩罚约束下的升阻比。翼型参数化是使用类/形状函数变换完成的。利用叶片单元动量理论，对优化后的翼型和克拉克Y型进行了优化设计。文中对数值模拟的结果进行了讨论。

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Particle swarm based airfoil optimization for sUAV's operating in a low range of Reynold's number

The paper focuses on Particle Swarm Optimization of an airfoil model for small unmanned aerial vehicles operating in low Reynolds number. The objective function to be maximized is the lift-to-drag ratio subject to different penalty constraints. The airfoil parameterization is done using Class/Shape function Transformation. Blade Element Momentum Theory is used to develop an optimum hovering propeller with the optimized airfoil and the Clark Y airfoil. The results of the numerical simulation are discussed in the paper.

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来源期刊

2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)

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