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Multirotor design optimization using a genetic algorithm

机译:使用遗传算法的多轨设计优化

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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:基于离散整数和连续变量的优化问题,以便为特定应用程序设计多电机(最大推力到重量和最大飞行时间)。我们认为杆的长度和直径作为连续变量,选择电机,螺旋桨和电池作为离散整数变量,所选择的组件可用于共同的爱好商店。解决问题是解决问题:两个情况:最大的推力与重量比和最大飞行时间。使用空气动力学原理和机械设计来说明问题。我们使用了Matlab的优化工具箱提供的遗传算法,以解决这两种情况;提出了对算法的简要描述。结果表明,一般思想是考虑十六旋翼,以获得最大推力与重量比和最大飞行时间。

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