Multi-objective Parameters Optimization Design of a Novel 3-DOF Parallel Robot

Zhiyong Zhou, Bin Li, Qi Li, Yuan Zhang
{"title":"Multi-objective Parameters Optimization Design of a Novel 3-DOF Parallel Robot","authors":"Zhiyong Zhou, Bin Li, Qi Li, Yuan Zhang","doi":"10.1109/ICARM52023.2021.9536135","DOIUrl":null,"url":null,"abstract":"Under the same workspace, the different structural parameters of parallel mechanism will lead to different mechanism performances. Therefore, obtaining the optimal structural parameters of parallel mechanism is an important guarantee for mechanism performance. To address this problem, a new 3-DOF 2-RRU&RSR parallel robot is selected as the research object. Firstly, the parameter modeling is carried out and imported into ADAMS. Secondly, several important parameters of the parallel robot are selected as design variables for design and research. The trajectories and loads of the moving platform end of the parallel robot are limited, and the effects of various parameters on the quality, transfer efficiency, total kinetic energy consumption and input angular amplitude of the parallel robot are obtained. Finally, multiple objectives are synthesized into a total objective function by the weighting factor method. Based on the design research, the four important parameters are used as design variables to optimize the design, and an optimal solution that weighs multiple objectives is obtained, so that the parallel robot obtains Lightweight design and performance improvement.","PeriodicalId":367307,"journal":{"name":"2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARM52023.2021.9536135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Under the same workspace, the different structural parameters of parallel mechanism will lead to different mechanism performances. Therefore, obtaining the optimal structural parameters of parallel mechanism is an important guarantee for mechanism performance. To address this problem, a new 3-DOF 2-RRU&RSR parallel robot is selected as the research object. Firstly, the parameter modeling is carried out and imported into ADAMS. Secondly, several important parameters of the parallel robot are selected as design variables for design and research. The trajectories and loads of the moving platform end of the parallel robot are limited, and the effects of various parameters on the quality, transfer efficiency, total kinetic energy consumption and input angular amplitude of the parallel robot are obtained. Finally, multiple objectives are synthesized into a total objective function by the weighting factor method. Based on the design research, the four important parameters are used as design variables to optimize the design, and an optimal solution that weighs multiple objectives is obtained, so that the parallel robot obtains Lightweight design and performance improvement.
新型三自由度并联机器人多目标参数优化设计
在相同工作空间下,并联机构的不同结构参数会导致机构性能的不同。因此,获得并联机构的最优结构参数是机构性能的重要保证。为了解决这一问题,本文选择了一种新型的3-DOF 2-RRU&RSR并联机器人作为研究对象。首先,进行参数建模并导入ADAMS;其次,选取并联机器人的几个重要参数作为设计变量进行设计研究。对并联机器人运动平台端的运动轨迹和载荷进行了限制,得到了各参数对并联机器人质量、传递效率、总动能消耗和输入角幅的影响。最后,通过加权因子法将多个目标合成为一个总目标函数。在设计研究的基础上,将这四个重要参数作为设计变量进行优化设计,得到了多目标加权的最优解,使并联机器人获得轻量化设计和性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信