Target Force Tracking and Automatic Contour Surface Processing in Grinding of Industrial Robots

Shifeng Huang, Zhihong Zhu, Jihong Chen, Xing Zhou, Jiaxun Yu, Peiyang Gao, Haoqing Wang
{"title":"Target Force Tracking and Automatic Contour Surface Processing in Grinding of Industrial Robots","authors":"Shifeng Huang, Zhihong Zhu, Jihong Chen, Xing Zhou, Jiaxun Yu, Peiyang Gao, Haoqing Wang","doi":"10.1109/ICCAR49639.2020.9108006","DOIUrl":null,"url":null,"abstract":"Some studies have shown that constant grinding force has an appreciable impact on the quality of material removal, such as consistency. However, there are still two short-comings in practical applications. Firstly, it often produces a large instantaneous contact force when the grinding tool contacts the workpiece. Moreover, the grinding force fluctuates greatly in high feed speed. A series of practical solutions are proposed in our paper to these issues. A force planning strategy based on a compliance model can overcome the defect of excessive instantaneous contact force. Based on some functional modules of active disturbance rejection control (ADRC) framework, effective signals can be extracted, and some coarse disturbance feedback force can be eliminated. In addition, an impedance model combined with a PID regulator can realize fast suppression of grinding disturbance force and maintain target force. Besides, an algorithm prototype for automatic contour surface processing and target force tracking is proposed to simplify the programming of grinding. Physical experiments have proved the correctness and effectiveness of the above strategies.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR49639.2020.9108006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Some studies have shown that constant grinding force has an appreciable impact on the quality of material removal, such as consistency. However, there are still two short-comings in practical applications. Firstly, it often produces a large instantaneous contact force when the grinding tool contacts the workpiece. Moreover, the grinding force fluctuates greatly in high feed speed. A series of practical solutions are proposed in our paper to these issues. A force planning strategy based on a compliance model can overcome the defect of excessive instantaneous contact force. Based on some functional modules of active disturbance rejection control (ADRC) framework, effective signals can be extracted, and some coarse disturbance feedback force can be eliminated. In addition, an impedance model combined with a PID regulator can realize fast suppression of grinding disturbance force and maintain target force. Besides, an algorithm prototype for automatic contour surface processing and target force tracking is proposed to simplify the programming of grinding. Physical experiments have proved the correctness and effectiveness of the above strategies.
工业机器人磨削中目标力跟踪与自动轮廓面处理
一些研究表明,恒定的磨削力对材料去除的质量有明显的影响,如一致性。但是在实际应用中还存在两个不足。首先,磨具与工件接触时往往产生较大的瞬时接触力。在高进给速度下,磨削力波动较大。针对这些问题,本文提出了一系列切实可行的解决方案。基于柔度模型的力规划策略可以克服瞬时接触力过大的缺陷。基于自抗扰控制(ADRC)框架的一些功能模块,可以提取有效信号,消除一些粗扰动反馈力。此外,结合PID调节器的阻抗模型可以实现对磨削扰动力的快速抑制并保持目标力。此外,提出了一种自动轮廓面加工和目标力跟踪的算法原型,简化了磨削过程的编程。物理实验证明了上述策略的正确性和有效性。
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