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Simultaneous determination of maximum acceleration and endurance of morphing UAV with ABC algorithm-based model

机译:基于ABC算法的模型同时测定变形无人机的最大加速度和耐久性

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Purpose - The purpose of this paper is to present a novel approach based on the artificial bee colony (ABC) algorithm aiming to achieve maximum acceleration and maximum endurance for morphing unmanned aerial vehicle (UAV) design. Design/methodology/approach - Some of the most important issues in the design of UAV are the design of thrust system and determination of the endurance of the UAV. Although propeller selection is very important for the thrust system design, battery selection has the utmost importance for the determination of UAV endurance. In this study, the calculations of maximum acceleration and endurance required by ZANKA-II during the flight are considered simultaneously. For this purpose, a model based on the ABC algorithm is proposed for the morphing UAV design, aiming to achieve the maximum acceleration and endurance. In the proposed model, the propeller diameter, propeller pitch and battery values used in morphing UAV's power system design are selected as the input parameters; maximum acceleration and endurance are selected as the output parameters. To obtain the maximum acceleration and endurance, the optimum input parameters are determined through the ABC algorithm-based model. Findings - Considerable improvements on maximum acceleration and endurance of morphing UAV with ABC algorithm-based model are obtained. Research limitations/implications - The endurance and acceleration due to the thrust are two separate parameters that are not normally proportional to each other. In this study, optimization of UAV's endurance and acceleration is considered with equal importance. Practical implications - Using artificial intelligence techniques causes fast and simple optimization for determination of UAV's endurance and acceleration with equal importance. In the simulation studies with ABC algorithm, satisfactory results are obtained. Social implications - The results of the study have showed that the proposed approach could be an alternative method for UAV designers. Originality/value - Providing a new and efficient method saves time and reduces cost in calculations of maximum acceleration and endurance of the UAV.
机译:目的 - 本文的目的是提出一种基于人工蜂殖民地(ABC)算法的新方法,旨在实现变形无人机(UAV)设计的最大加速和最大耐力。设计/方法/方法 - 无人机设计中的一些最重要的问题是推力系统的设计和确定无人机的耐力。虽然螺旋桨选择对推力系统设计非常重要,但电池选择对于确定无人机耐力最重要。在该研究中,同时考虑Zanka-II所需的最大加速和耐久性的计算。为此,提出了一种基于ABC算法的模型,用于变形的UAV设计,旨在实现最大的加速和耐久性。在所提出的模型中,选择在变形UAV的电力系统设计中使用的螺旋桨直径,螺旋桨间距和电池值作为输入参数;选择最大加速度和耐久性作为输出参数。为了获得最大加速度和耐力,通过基于ABC算法的模型确定最佳输入参数。结果 - 获得了与基于ABC算法的模型的最大加速度和变形UAV的最大加速度和耐力的相当大。研究限制/影响 - 由于推力引起的耐久性和加速度是两个单独的参数,这些参数通常彼此通常成比例。在这项研究中,考虑了UAV的优化,具有同等重要的耐用性和加速度。实际意义 - 使用人工智能技术导致快速简单的优化,以确定无人机的耐力和加速度等同。在具有ABC算法的模拟研究中,获得了令人满意的结果。社会影响 - 该研究的结果表明,所提出的方法可能是UAV设计人员的替代方法。原创性/值 - 提供新的高效方法节省时间并降低计算的最大加速度和UAV的耐久性。

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