Laser Ablation Manipulator Coverage Path Planning Method Based on an Improved Ant Colony Algorithm | |
Ye, Xuan2; Luo, Lan1; Hou, Li2; Duan, Yang2; Wu, Yang2 | |
刊名 | APPLIED SCIENCES-BASEL
![]() |
2020-12-01 | |
卷号 | 10期号:23 |
关键词 | coverage path planning ant colony optimisation point cloud data laser ablation |
DOI | 10.3390/app10238641 |
英文摘要 | Coverage path planning on a complex free-form surface is a representative problem that has been steadily investigated in path planning and automatic control. However, most methods do not consider many optimisation conditions and cannot deal with complex surfaces, closed surfaces, and the intersection of multiple surfaces. In this study, a novel and efficient coverage path-planning method is proposed that considers trajectory optimisation information and uses point cloud data for environmental modelling. First, the point cloud data are denoised and simplified. Then, the path points are converted into the rotation angle of each joint of the manipulator. A mathematical model dedicated to energy consumption, processing time, and path smoothness as optimisation objectives is developed, and an improved ant colony algorithm is used to solve this problem. Two measures are proposed to prevent the algorithm from being trapped in a local optimum, thereby improving the global search ability of the algorithm. The standard test results indicate that the improved algorithm performs better than the ant colony algorithm and the max-min ant system. The numerical simulation results reveal that compared with the point cloud slicing technique, the proposed method can obtain a more efficient path. The laser ablation de-rusting experiment results specify the utility of the proposed approach. |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000597736400001 |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/155040] ![]() |
专题 | 兰州理工大学 |
作者单位 | 1.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Peoples R China 2.Sichuan Univ, Sch Mech Engn, Chengdu 610065, Peoples R China; |
推荐引用方式 GB/T 7714 | Ye, Xuan,Luo, Lan,Hou, Li,et al. Laser Ablation Manipulator Coverage Path Planning Method Based on an Improved Ant Colony Algorithm[J]. APPLIED SCIENCES-BASEL,2020,10(23). |
APA | Ye, Xuan,Luo, Lan,Hou, Li,Duan, Yang,&Wu, Yang.(2020).Laser Ablation Manipulator Coverage Path Planning Method Based on an Improved Ant Colony Algorithm.APPLIED SCIENCES-BASEL,10(23). |
MLA | Ye, Xuan,et al."Laser Ablation Manipulator Coverage Path Planning Method Based on an Improved Ant Colony Algorithm".APPLIED SCIENCES-BASEL 10.23(2020). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论