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Multirotor design optimization using a genetic algorithm

机译:使用遗传算法的多转子设计优化

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An optimization problem based on discrete-integer and continuous variables in order to design a multirotor for a specific application (maximum thrust-to-weight and maximum flight time) is developed. We considered the length and the diameter of the rods as continuous variables and the selection of the motors, propellers, and battery as discrete-integer variables, the components selected are available in common hobby stores. The problem is solved for two cases: maximum thrust-to-weight ratio and maximum flight time. The problem is stated using the aerodynamic principles and mechanical design as well. We used a Genetic Algorithm provided by the Optimization Toolbox in Matlab¿¿, in order to solve the two cases; a brief description of the algorithm is presented. The results showed that the general idea is to consider an hex-rotor in order to obtain the maximum thrust-to-weight ratio and the maximum flight time.
机译:提出了一种基于离散整数和连续变量的优化问题,以便针对特定应用设计多旋翼(最大推力重量和最大飞行时间)。我们将杆的长度和直径视为连续变量,并将电动机,螺旋桨和电池的选择视为离散整数变量,所选择的组件可在常见的业余爱好商店中找到。该问题在两种情况下得以解决:最大推力重量比和最大飞行时间。使用空气动力学原理和机械设计也可以说明问题。为了解决这两种情况,我们使用了Matlab中的优化工具箱提供的遗传算法。简要介绍了该算法。结果表明,总体思路是考虑使用六角转子以获得最大推力重量比和最大飞行时间。

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