Commonality Evaluation and Prediction Study of Light and Small Multi-Rotor UAVs

IF 4.4 2区 地球科学 Q1 REMOTE SENSING
Drones Pub Date : 2023-12-08 DOI:10.3390/drones7120698
Yongjie Zhang, Yongqi Zeng, K. Cao
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Abstract

Light small-sized, multi-rotor UAVs, with their notable advantages of portability, intelligence, and low cost, occupy a significant share in the civilian UAV market. To further reduce the full lifecycle cost of products, shorten development cycles, and increase market share, some manufacturers of these UAVs have adopted a series development strategy based on the concept of commonality in design. However, there is currently a lack of effective methods to quantify the commonality in UAV designs, which is key to guiding commonality design. In view of this, our study innovatively proposes a new UAV commonality evaluation model based on the basic composition of light small-sized multi-rotor UAVs and the theory of design structure matrices. Through cross-evaluations of four models, the model has been confirmed to comprehensively quantify the degree of commonality between models. To achieve commonality prediction in the early stages of multi-rotor UAV design, we constructed a commonality prediction dataset centered around the commonality evaluation model using data from typical light small-sized multi-rotor UAV models. After training this dataset with convolutional neural networks, we successfully developed an effective predictive model for the commonality of new light small-sized multi-rotor UAV models and verified the feasibility and effectiveness of this method through a case application in UAV design. The commonality evaluation and prediction models established in this study not only provide strong decision-making support for the series design and commonality design of UAV products but also offer new perspectives and tools for strategic development in this field.
轻型和小型多旋翼无人机共性评估和预测研究
轻型小型多旋翼无人机以其便携、智能、低成本等显著优势,在民用无人机市场占据了相当大的份额。为了进一步降低产品的全生命周期成本,缩短开发周期,提高市场占有率,一些无人机制造商采用了基于设计共性概念的系列化开发策略。然而,目前缺乏量化无人机设计共性的有效方法,而共性是指导共性设计的关键。有鉴于此,我们的研究基于轻型小型多旋翼无人机的基本构成和设计结构矩阵理论,创新性地提出了一种新的无人机共性评价模型。通过对四种机型的交叉评估,证实该模型能全面量化机型间的通用性程度。为实现多旋翼无人机设计初期的共性预测,我们利用典型轻小型多旋翼无人机模型数据,构建了以共性评价模型为核心的共性预测数据集。在使用卷积神经网络对该数据集进行训练后,我们成功建立了一个有效的轻小型多旋翼无人机新机型通用性预测模型,并通过无人机设计中的案例应用验证了该方法的可行性和有效性。本研究建立的共性评价和预测模型不仅为无人机产品的系列化设计和共性设计提供了有力的决策支持,也为该领域的战略发展提供了新的视角和工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
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