全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
Design  2024 

基于交互式遗传算法的无人机造型设计研究
Research on UAV Modeling Design Based on Interactive Genetic Algorithm

DOI: 10.12677/design.2024.93283, PP. 17-26

Keywords: 产品造型设计,交互式遗传算法,参数化建模,个性化设计
Product Styling Design
, Interactive Genetic Algorithms, Parametric Modelling, Personalised Design

Full-Text   Cite this paper   Add to My Lib

Abstract:

本文针对产品造型设计中存在产品造型简单、方案展示度不足、个性化程度低等问题,以无人机产品为研究对象,在三维软件中进行基于交互式遗传算法的无人机产品造型个性化设计系统的开发。首先,本研究对无人机产品造型进行分析,得到控制无人机造型的关键特征。然后,通过对关键特征的参数化建模,以交互式遗传算法为基础,以多样化、可拓展、可复现为目标,构建产品造型的基因编码。最后,完成定制化设计系统的搭建,对系统进行定制化设计的验证,成功生产出了契合用户偏好的无人机产品三维造型方案,验证了系统的有效性,实现了高复杂度产品造型的个性化设计。
In this paper, for the problems of product modelling design, such as simple product modelling, insufficient solution presentation and low degree of personalisation, the development of personalised design system for unmanned aerial vehicle (UAV) product modelling based on interactive genetic algorithm is carried out in 3D software with the UAV product as the research object. Firstly, this study analyses the UAV product modelling and gets the key features to control the unmanned modelling. Then, through the parametric modelling of the key features, the genetic coding of the product styling is constructed based on the interactive genetic algorithm with the objectives of diversification, expandability and reproducibility. Finally, the construction of the customised design system is completed, the system is verified for customised design, and the 3D modelling scheme of the UAV product that fits the user’s preference is successfully output, which verifies the validity of the system and realises the personalised design of high-complexity product modelling.

References

[1]  胡炳涛, 冯毅雄, 刘继红, 等. 面向“互联网 ”定制产品的智能适应性设计研究[J]. 机械工程学报, 2023, 59(12): 109-125.
[2]  孙艳, 王万良, 赵燕伟, 等. 产品研发中面向用户意象的交互式遗传算法评价模式[J]. 计算机集成制造系统, 2012, 18(2): 276-281.
[3]  苏胜, 顾森, 宋志强, 等. 基于深度表征学习和遗传算法的军用座舱色彩设计方法[J]. 兵工学报, 2024, 45(4): 1060-1069.
[4]  Lee, S.-C., Tseng, H.-E., Chang, C.-C. and Huang, Y.-M. (2020) Applying Interactive Genetic Algorithms to Disassembly Sequence Planning. International Journal of Precision Engineering and Manufacturing, 21, 663-679.
https://doi.org/10.1007/s12541-019-00276-w
[5]  Zhu, X., Li, X., Chen, Y., Liu, J., Zhao, X. and Wu, X. (2020) Interactive Genetic Algorithm Based on Typical Style for Clothing Customization. Journal of Engineered Fibers and Fabrics, 15.
https://doi.org/10.1177/1558925020920035
[6]  孙晓燕, 陈姗姗, 巩敦卫, 等. 基于区间适应值交互式遗传算法的加权多输出高斯过程代理模型[J]. 自动化学报, 2014, 40(2): 172-184.
[7]  朱苗苗, 潘伟杰, 刘翔, 等. 基于BP神经网络代理模型的交互式遗传算法[J]. 计算机工程与应用, 2020, 56(2): 146-151.
[8]  Zeng, D., et al. (2021) An Interactive Genetic Algorithm with an Alternation Ranking Method and Its Application to Product Customization. Human-Centric Computing and Information Sciences, 11, Article No. 15.
http://hcisj.com/articles/?HCIS202111015&ckattempt=1
[9]  杨延璞, 刘琼. 设计意图驱动的产品形态设计方法[J]. 计算机集成制造系统, 2015, 21(4): 867-874.
[10]  杨晓波. 基于交互式遗传算法的三维服装款式研究[J]. 纺织学报, 2022, 43(6): 145-150.
[11]  朱佳栋, 苏少辉, 陈昌, 等. 面向产品配置设计的改进交互式遗传算法[J]. 国机械工程, 2018, 29(20): 2474-2478.
[12]  刘阳, 王开松, 唐威, 等. 基于倾转电机的可折翼的水空两栖无人机设计与实现[J]. 机械工程学报, 2024, 60(2): 272-286.
[13]  张建扬, 于春梅, 叶剑晓. 基于扩张状态观测器和反步滑模法的四旋翼无人机轨迹跟踪控制[J]. 计算机应用, 2018, 38(9): 2742-2746.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133