期刊文献+

基于关节空间评估的机器人作业单元布局优化 被引量:6

Robot Workcell Layout Optimization Based on Joint Space Evaluation
在线阅读 下载PDF
导出
摘要 针对工业机器人作业单元布局优化问题,研究了机器人关节空间和操作空间的特性.将机器人的关节轨迹距离作为评估指标,使得机器人的周期时间和功耗的描述更为准确;采用简单、高效的自适应差分进化算法,提高了计算效率.对典型机器人作业单元的布局优化实例进行研究,结果表明了算法的有效性和关节空间评估指标的先进性. This paper investigated the characteristics of joint space and operational space of the robot for the machine layout optimization problem in robot workcell. The sum of trajectory distance of each joint as an evaluation function is a more accurate approximation of the robot cycle time and power consumption. Adaptive-differential evaluation as a simple and efficient algorithm was introduced to improve the computa- tional efficiency. A typical industrial case was used to verify the validity and practicability of the proposed algorithm. The simulation result shows the effectiveness of the proposed method and the advantage of the joint space evaluation.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2009年第11期1762-1766,共5页 Journal of Shanghai Jiaotong University
基金 国家高技术研究发展计划(863)项目(2006AA040203) 国家自然科学基金项目(60775062) 教育部新世纪优秀人才计划(NCET-07-0538)
关键词 机器人 作业单元 布局优化 自适应差分进化算法 robot workcell layout optimization self-adaptive differential evolution algorithm
  • 相关文献

参考文献8

  • 1唐晓君,查建中,陆一平.布局问题的复杂性和建模方法[J].北方交通大学学报,2003,27(1):12-15. 被引量:12
  • 2Chittajallu S K, Sommer III H J. Layout design for robotic assembly workcells [R]. AD86-409, Technical Paper SME, 1986: 759-769.
  • 3Tay M L, Ngoi B K A. Optimising robot workcell layout [J]. Advanced Manufacturing Technology, 1996, 12: 377-385.
  • 4Barral D, Perrin J P, Dombre E. Simulated annealing combined with a constructive algorithm for optimizing assembly workcell layout [J]. Advanced Manufacturing Technology, 2001, 17: 593-602.
  • 5项彬彬,陈卫东,亓利伟,张丹丹.基于遗传算法的机器人作业单元布局优化[J].上海交通大学学报,2008,42(10):1697-1701. 被引量:10
  • 6Storn R, Price K. Differential evolution: A simple and efficient heuristic for global optimization over continuous space [J]. Journal of Global Optimization, 1997, 11(4) : 341-359.
  • 7曹毅,李秀娟,宁祎,杨冠英.三维机器人工作空间及几何误差分析[J].机械科学与技术,2006,25(12):1458-1461. 被引量:39
  • 8Huang V L, Qin A K, Suganthan P N. Self-adaptive differential evolution algorithm for constrained real-parameter optimization [C]//2006 IEEE Congress on Evolutionary Computation. Vancouver, BC, Canada: IEEE, 2006: 324-331.

二级参考文献19

  • 1曹毅,王树新,李群智.基于随机概率的机器人工作空间及其解析表达[J].组合机床与自动化加工技术,2005(2):1-4. 被引量:22
  • 2戴汝为,王珏.巨型智能系统的探讨[J].自动化学报,1993,19(6):645-655. 被引量:39
  • 3戴佐,袁俊良,查建中,郭伟.一种基于八叉树结构表达的三维实体布局启发式算法[J].软件学报,1995,6(10):629-636. 被引量:26
  • 4Garey M R, Johnson D S. Computers and intractability: A guide to the theory of NP-completeness [M]. New York: W. H. Freeman and Company, 1979.
  • 5Nehme D, McKiddie R. Evaluating workcell layouts [C]//Proceedings of IEEE/SEMI 1995 Advanced Semiconductor Manufacturing Conference and Workshop. Cambridge, MA, USA: IEEE, 1995: 111-114.
  • 6Lueth T C. Automated planning of robot workcell layouts[C]//Proceedings of 1992 IEEE International Conference on Robotics and Automation. Nice, France: IEEE, 1992: 1103-1108.
  • 7Govindaraj S, Doty K L. Manufacturing workcell modelling and task facility[C]//IEEE Conference Proceedings of Southeastcon '88. Knoxville, TN, USA: IEEE, 1988: 492-496.
  • 8Li X J, Cao Y, Yang D Y. A numerical-analytical method for the computation of robot workspace[C]// IMACS Multiconference on Computational Engineering in Systems Applications. Beijing : Tsinghua Univesity Press, 2006:1082-1086.
  • 9Holt G, Tyagi A. GEEP: A low power genetic algorithm layout system[C]//IEEE 39th Midwest symposium on Circuits and Systems. Ames, IA, USA: IEEE, 1996: 1337-1340.
  • 10Zou Y P, Mi Z K, Xu M H. Dynamic load balancing based on roulette wheel selection[C]//Proceedings of 2006 International Conference on Communications. Circuits and Systems, Guilin, China: IEEE, 2006: 1732-1734.

共引文献56

同被引文献34

  • 1王坤坤,尹怡欣.基于一种改进PSO的移动机器人路径规划[J].北京邮电大学学报,2006,29(z2):70-74. 被引量:3
  • 2孙杏初.关节型机器人主连杆(手臂)参数的优化设计[J].北京航空航天大学学报,1996,22(4):509-512. 被引量:15
  • 3Panda S, Mishra D, Biswal B B. Revolute manipulator workspace optimization : A comparative study [ J ]. Applied Soft Computing. 2013, 13(2) : 899 -910.
  • 4Jin Y, Chen I, Yang G. Workspace evaluation of manipula- tors through finite-partition of SE (3) [ J ]. Robotics and Computer-lntegrated Manufacturing. 2011, 27 ( 4 ) : 850 - 859.
  • 5Cao Y, Lu K, Li X, et al. Accurate numerical methods for computing 2d and 3d robot workspace [ J ]. International Journal of Advanced Robotic Systems: INTECH, 2011, 6: 1 -13.
  • 6Yang X, Wang H, Zhang C, et al. A method for mapping the boundaries of collision-free reachable workspaees [ J ]. Mechanism and Machine Theory, 2010, 45 ( 7 ): 1024 - 1033.
  • 7Abdel-Malek K, Yeh H, Othman S. Interior and exterior boundaries to the workspace of mechanical manipulators [ J ]. Robotics and Computer Integrated Manufacturing, 2000, 16(5) : 365 -376.
  • 8Yang J, Abdel-Malek K, Zhang Y. On the workspace boundary determination of serial manipulators with non-uni- lateral constraints [ J ]. Robotics and Computer-Integrated Manufacturing. 2008, 24( 1 ) : 60 -76.
  • 9项彬彬,陈卫东,亓利伟,张丹丹.基于遗传算法的机器人作业单元布局优化[J].上海交通大学学报,2008,42(10):1697-1701. 被引量:10
  • 10夏虹,李增智.粒子群算法求解Web服务组合中基于QoS的服务选择[J].北京邮电大学学报,2009,32(4):63-67. 被引量:21

引证文献6

二级引证文献14

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