期刊文献+

制孔执行器的安装方式对机器人性能的影响 被引量:15

Effects of Drill End Effector's Mounted Method on the Robot Performance
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摘要 机器人和多功能末端执行器组成的柔性钻削系统近些年在航空工业得到了越来越广泛的应用,执行器和机器人的安装方式有同轴式、悬挂式和侧面式。利用软件Matlab对机器人和工件进行仿真建模,并计算执行器在不同安装方式下的机器人可达度、可操作度、关节使用度和关节被动力矩。基于计算结果,结合评价指标,分析制孔末端执行器的安装方式对机器人的可达性、可操作性、关节使用度及制孔位置精度的影响,结果表明同轴式安装消除了压紧力对机器人第5轴的被动力矩,有利于提高加工孔的位置精度;悬挂式安装使机器人的可达性好;侧面式安装使机器人的可操作性好,增加了机器人的运动灵活性和减少了关节使用度。 The flexible robot drilling system consists of two main sub-systems,the robot and the multifunction drilling end effector. It is more and more widely used in aircraft industry in recent years. There are three different methods to attach the end effector to the robot,i.e. coaxial type,hanging type and side type. The robot and workpiece simulation models are constructed by using software Matlab. According to the three different mounting methods,the robot reachability,manipulability,joint usage degree and joint passive torque are calculated by means of Matlab language. Based on the calculation results and evaluation indexes,the performances including reachability,manipulability,joint usage degree and hole positioning accuracy of the robot are analyzed. The analysis results show that the coaxial mounting eliminates the fifth axis joint passive torque produced by the clamp force,thus improving the hole positioning accuracy; the hanging mounting increases the robot reachability; the side mounting improves the robot manipulability and decreases the joint usage degree.
作者 梁杰 毕树生
出处 《机械工程学报》 EI CAS CSCD 北大核心 2010年第21期13-18,共6页 Journal of Mechanical Engineering
基金 国家科技支撑计划资助项目(2007BAF27B03)
关键词 安装方式 可达度 可操作度 关节使用度 关节被动力矩 Mounted configuration Reachability Manipulability Joint usage degree Joint passive torque
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参考文献11

  • 1YU W. Optimal placement of serial manipulators[D]. Calvin Hall: The University of Iowa, 2001.
  • 2YOSHIKAWA T. Manipulability of robotic mechanisms [J]. International Journal of Robotics Research, 1985, 4(2): 3-9.
  • 3ZEGHLOUL S, PAMANES-GARCIA J A. Multi-criteria optimal placement of robots in constrained environments[J].Robotica, 1993, 11(1): 105-110.
  • 4何广忠,高洪明,张广军,吴林.弧焊机器人放置规划问题的研究[J].机器人,2006,28(3):249-254. 被引量:2
  • 5MITSI S, BOUZAKIS K D, SAGRIS D. Determination of optimum robot base location considering discrete end- effector positions by means of hybrid genetic algorithm[J]. Robotics and Computer-Integrated Manufacturing, 2008, 24(1): 50-59.
  • 6NELSON B, DONATH M. Optimizing the location of assembly tasks in manipulator's workspace[J]. Journal of Robotic Systems, 1990, 7(6): 791-811.
  • 7KAMRANI B, BERBYUK V, WAPPLING D, et al. Optimal robot placement using response surface method[J]. International Journal of Advanced Manufacturing Technology, 2009, 44(1-2): 201-210.
  • 8RUSSELL D, KEVIN S, JOHN I. ONCE (One sided cell end effector) robotic drilling system[C]// 2002 SAE Automated Fastening Conference & Exhibition, New Applications for Automation Technologies, October 1-3, 2002, Chester. Warrendale: SAElnternational, 2002:012626.
  • 9JOE A, JOHN H, SIMON J. Robotic drilling system for 737 aileron[C]// SAE2007 SAE AeroTech. Congress & Exhibition, Robotics and Component Assy (Part A), September 17-20, 2007, Los Angeles. Warrendale: SAE International, 2007: 013821.
  • 10DEVLIEG R. Robotic trailing edge flap drilling system[C]//SAE2009 AeroTech. Congress & Exhibition, Automated Fastening/Assembly & Tooling (AeroFast)- Automated Robotic Drill and Fastening Systems, November 10-12, 2009, Seattle. Warrendale: SAE International, 2009: 013244.

二级参考文献8

  • 1Seraji H. Reachability analysis for base placement in mobile manipulators[ J]. Journal of Robotic Systems, 1995, 12(1) : 29-43.
  • 2Zeghloul S, Pamanes-Garcia J A. Multi-criteria optimal placement of robots in constrained environment [ J ]. Robotiea, 1993, 11 (2) : 105- 110.
  • 3Zeghloul S, Blanchard B, Ayrauh M. SMAR: a robot modeling and simulation system[ J]. Robotica, 1997, 15 ( 1 ) : 63 - 73.
  • 4Yu W. Optimal Placement of Serial Manipulators[ D]. USA: The University of Iowa, 2001.
  • 5Cheng H, Flann N S, Watson D W. Parallel genetic simulated annealing: a massively parallel SIMD algorithm[ J]. IEEE Transactions on Parallel and Distributed Systems, 1998, 9(2) : 126 -136.
  • 6Quagliarella D, Vicini A. A genetic algorithm With adaptive parameters[ A ]. Proceedings of the 1999 IEEE International Conference on Systems, Man, and Cybernetics [ C ]. Piscataway, USA: IEEE,1999. 598 - 603.
  • 7Sugisaka M, Fan X J. Adaptive genetic algorithm with a cooperative mode [ A ]. Proceedings of the 2001 IEEE International Symposium on Industrial Electronics[ C]. Piscataway, USA: IEEE, 2001. 1941 -1945.
  • 8崔鲲,吴林,陈善本.遗传算法在冗余度弧焊机器人路径规划中的应用[J].机器人,1998,20(5):362-367. 被引量:19

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