Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars
In order to optimize the spatial position of each component of the steel plant bundled bar labeling robot system and improve its work efficiency, the motion of the industrial robot in the system is analyzed, the robot kinematics model is established by the D-H parameter method, the analytical soluti...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2022-01-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.008 |
| _version_ | 1797818987882479616 |
|---|---|
| author | Zhang Fuxiang Zheng Yu Huang Yongjian Wang Chunmei Huang Fengshan |
| author_facet | Zhang Fuxiang Zheng Yu Huang Yongjian Wang Chunmei Huang Fengshan |
| author_sort | Zhang Fuxiang |
| collection | DOAJ |
| description | In order to optimize the spatial position of each component of the steel plant bundled bar labeling robot system and improve its work efficiency, the motion of the industrial robot in the system is analyzed, the robot kinematics model is established by the D-H parameter method, the analytical solution of the inverse kinematics of the robot is solved by the separated variable method, and the spatial coordinates of the industrial robot and the label printer are taken as the design variables. Taking the shortest total stroke of the robot labeling process as the optimization goal of the placement position of the industrial robot and label printer, an improved particle swarm optimization algorithm is used for optimization calculation to obtain the optimal spatial position of the industrial robot and label printer, which improves the work efficiency of the labeling robot system, and has guiding significance for the practical application of the system. |
| first_indexed | 2024-03-13T09:16:16Z |
| format | Article |
| id | doaj.art-872ea22e20dc4de484ce599542a5ce39 |
| institution | Directory Open Access Journal |
| issn | 1004-2539 |
| language | zho |
| last_indexed | 2024-03-13T09:16:16Z |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj.art-872ea22e20dc4de484ce599542a5ce392023-05-26T09:55:57ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-01-0146495431571884Spatial Position Optimization of Components in the Labeling Robot System for Bundled BarsZhang FuxiangZheng YuHuang YongjianWang ChunmeiHuang FengshanIn order to optimize the spatial position of each component of the steel plant bundled bar labeling robot system and improve its work efficiency, the motion of the industrial robot in the system is analyzed, the robot kinematics model is established by the D-H parameter method, the analytical solution of the inverse kinematics of the robot is solved by the separated variable method, and the spatial coordinates of the industrial robot and the label printer are taken as the design variables. Taking the shortest total stroke of the robot labeling process as the optimization goal of the placement position of the industrial robot and label printer, an improved particle swarm optimization algorithm is used for optimization calculation to obtain the optimal spatial position of the industrial robot and label printer, which improves the work efficiency of the labeling robot system, and has guiding significance for the practical application of the system.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.008Labeling robot;Position optimization;Kinematic analysis;Monte Carlo method;Improved particle swarm algorithm |
| spellingShingle | Zhang Fuxiang Zheng Yu Huang Yongjian Wang Chunmei Huang Fengshan Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars Jixie chuandong Labeling robot;Position optimization;Kinematic analysis;Monte Carlo method;Improved particle swarm algorithm |
| title | Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars |
| title_full | Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars |
| title_fullStr | Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars |
| title_full_unstemmed | Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars |
| title_short | Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars |
| title_sort | spatial position optimization of components in the labeling robot system for bundled bars |
| topic | Labeling robot;Position optimization;Kinematic analysis;Monte Carlo method;Improved particle swarm algorithm |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.008 |
| work_keys_str_mv | AT zhangfuxiang spatialpositionoptimizationofcomponentsinthelabelingrobotsystemforbundledbars AT zhengyu spatialpositionoptimizationofcomponentsinthelabelingrobotsystemforbundledbars AT huangyongjian spatialpositionoptimizationofcomponentsinthelabelingrobotsystemforbundledbars AT wangchunmei spatialpositionoptimizationofcomponentsinthelabelingrobotsystemforbundledbars AT huangfengshan spatialpositionoptimizationofcomponentsinthelabelingrobotsystemforbundledbars |