期刊文献+

基于3D视觉与力控的舵机柔性自动装配技术研究

Research on Actuator Automatic Compliant Assembly Based on 3D Vision and Force Control
在线阅读 下载PDF
导出
摘要 对于航天装备的组装、部装和总装,采用机器人自动智能装配代替手工装配,是提升航天装备组装效率和精度、一致性和安全性以及应对突发情况、降低人工成本的重要技术。本文针对航天装备舵机安装的实际需求,开发了基于3D视觉与力控反馈的双机械臂协同自动装配机器人系统,主要采用3D视觉实现舵机、基座和螺丝孔洞的识别与精准定位,采用6维力传感器实现机械臂对于舵机的柔性抓取与放置,最终利用智能电批完成整个舵机工件的螺丝锁付操作。实验结果表明:采用以上技术方案,对于舵机安装基座和螺丝孔洞的位姿识别,精度可达到±0.1 mm,姿态角可以达到±0.2°,因而能实现带定位销精密工件的柔性装配以及高精度的螺丝孔识别和螺丝锁付,且舵机的安装效率提高30%。 For the assembly process of aerospace equipment,the robot automatic intelligent assembly is an excellent substitute for manual mode,depending on the advantage to improve assembly efficiency,reduce labor cost and ensure the assembly accuracy,consistency and safety.In this paper,according to the actual needs of the installation of the steering gear in aerospace equipment,a dual manipulator cooperative automatic assembly robot system based on 3D vision and force control feedback is developed.It mainly uses 3D vision to realize the identification and accurate positioning of the actuator,base and screw holes,and uses six dimensional force sensor to realize the flexible grasp and placement of the manipulator for the actuator.Finally,it uses the intelligent electric screwdriver to complete the screw locking operation of the entire actuator workpiece.The experimental results show that the visual identification of highprecision screw holes/locating pins and force-controlled assembly of steering gear with an accuracy of±0.1mm,the attitude angle can reach±0.2°,thus realizing high-precision grasping,placing and screw locking installation of steering gear,and the installation efficiency of actuator can be improved by 30%.
作者 蔡虎 李倩 曹英荣 刘英智 刘丁洋 Cai Hu;Li Qian;Cao Yingrong;Liu Yingzhi;Liu Dingyang(Beijing Xinghang Mechanical-electeonic Equipment Co.,Ltd.,Beijing 100074)
出处 《航天制造技术》 2025年第6期58-65,共8页 Aerospace Manufacturing Technology
关键词 机器视觉 视觉伺服 力控柔性装配 双臂协作机器人 螺丝锁付 machine vision visual servoing force controlled compliant assembly double arm cooperative robot screw lock
  • 相关文献

参考文献6

二级参考文献39

  • 1苏少辉,张东阳,汪益停,陈昌,陈国金.基于双目视觉的大尺度矩形工件定位方法[J].杭州电子科技大学学报(自然科学版),2020,40(1):41-46. 被引量:2
  • 2雷英杰,张善文,李续武,周创明.MATLAB遗传算法工具箱及应用[M].西安:西安电子科技大学出版社,2009.
  • 3马颂德,张正友.计算机视觉一计算理论与算法基础[M].北京:科学出版社,1997.
  • 4Song Limei,Qu Xinghua,Xu Kexin,et al. Novel SFS NDT in the Field of Defect Detection [J ]. NDT & E International, 2005,38 (5) : 381-386.
  • 5Smith S M,Brady J M. SUSAN A new approach to low level image processing [J ]. Int. Journal of Computer Vision, 1997,23 ( 1 ) :46-78.
  • 6Adept Technology Inc. ," Hexsight Reference Manual, v3.3, "2009,279 - 382.
  • 7贾云得.机械视觉[M].北京:科学出版社,2000.
  • 8Jean-Yves Potvin. Genetic algorithms for the traveling sales- man problem [ J ]. Annals of Operations Research, 1996 (63) : 339 - 383.
  • 9YANNIS MARINAKIS,ATHANASIOS MIGDALAS, PANOS M. PARDALOS. A Hybrid Genetic-GRASP Algorithm U- sing Lagrangean Relaxation for the Traveling Salesman Prob- lem[ J]. Journal of Combinatorial Optimization,2005 (10) : 311 -326.
  • 10Masafumi Kuroda , Kunihito Yamamori etal. Development of a novel crossover of hybrid genetic algorithms for large-scale traveling salesman problems [ J ]. Artif Life Robotics, 2010 (15) :547 -550.

共引文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部