Purpose

The purpose of this paper is to use an ABC algorithm to improve the thrust–torque ratio of a rotating-wing unmanned aerial vehicle (UAV) model.

Design/methodology/approach

The design of UAVs, such as aircraft, drones, helicopters, has become one of the popular engineering areas with the development of technology. This study aims to improve the value of thrust–torque ratio of an unmanned helicopter. For this purpose, an unmanned helicopter was built at the Faculty of Aeronautics and Astronautics, Erciyes University. The maximum thrust–torque ratio was calculated considering the blade length, blade chord width, blade mass density and blade twist angle. For calculation, artificial bee colony (ABC) algorithm was used. By using ABC algorithm, the maximum thrust–torque ratio was obtained against the optimum input values. For this purpose, a model with four inputs and a single output is formed. In the generated system model, optimum thrust–torque ratio was calculated by changing the input values used in the ±5% range. As a result of this study, approximately 31% improvement was achieved. According to these results, the proposed approach will provide convenience to the designers in the design of the rotating-wing UAV.

Findings

According to these results, approximately 31% improvement was achieved, and the proposed approach will provide convenience to the designers in the design of the rotating-wing UAV.

Research limitations/implications

It takes a long time to obtain the optimum thrust–torque ratio value through the ABC algorithm method.

Practical implications

Using ABC algorithm provides to improve the value of thrust–torque ratio of an unmanned helicopter. With this algorithm, unmanned helicopter flies more than ever. Thus, the presented method based on the ABC algorithm is more efficient.

Social implications

The application of the ABC algorithm method can be used effectively to calculate the thrust–torque ratio in UAV.

Originality/value

Providing an original and penetrating a method that saves time and reduces the cost to improve the value of thrust–torque ratio of an unmanned helicopter.

中文翻译：

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利用ABC算法提高无人直升机的推力扭矩比

目的

本文的目的是使用ABC算法来提高旋转翼无人飞行器（UAV）模型的推力-扭矩比。

设计/方法/方法

随着技术的发展，飞机，无人机，直升机等无人机的设计已成为最受欢迎的工程领域之一。这项研究旨在提高无人直升机的推力－扭矩比值。为此，在埃尔西耶斯大学航空航天学院建造了一架无人直升机。计算最大推力/扭矩比时要考虑叶片长度，叶片弦宽，叶片质量密度和叶片扭转角。为了进行计算，使用了人工蜂群（ABC）算法。通过使用ABC算法，可获得最大推力-扭矩比与最佳输入值的对比。为此，形成具有四个输入和单个输出的模型。在生成的系统模型中，通过在±5％范围内更改输入值来计算最佳推力-扭矩比。这项研究的结果是，实现了大约31％的改善。根据这些结果，提出的方法将为旋转翼无人机的设计者提供方便。

发现

根据这些结果，可以实现约31％的改进，并且所提出的方法将为设计人员提供方便的旋翼无人机设计。

研究局限/意义

通过ABC算法获得最优的推力－扭矩比值需要花费很长时间。

实际影响

使用ABC算法可以提高无人直升机的推力－扭矩比值。通过这种算法，无人直升机的飞行比以往任何时候都要多。因此，所提出的基于ABC算法的方法更加有效。

社会影响

ABC算法方法的应用可以有效地用于计算无人机的推力比。

创意/价值

提供一种新颖而有深度的方法，可以节省时间并降低成本，以提高无人直升机的推力－扭矩比值。