[1]陈世钟,刘延遂,吴品弘,等.基于刚度性能的机器人臂长优化[J].机械与电子,2015,(06):67-72.
 CHEN Shizhong,LIU Yansui,WU Pinhong,et al.Arm Link Length Optimization of Robots Based on Stiffness Performance[J].Machinery & Electronics,2015,(06):67-72.
点击复制

基于刚度性能的机器人臂长优化
分享到:

《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2015年06期
页码:
67-72
栏目:
智能工程
出版日期:
2015-06-26

文章信息/Info

Title:
Arm Link Length Optimization of Robots Based on Stiffness Performance
文章编号:
1001-2257(2015)06-0067-06
作者:
陈世钟1刘延遂2吴品弘1胡 杰1管贻生2刘冠峰2
(1.华南理工大学机械与汽车工程学院,广东 广州 510641; 2.广东工业大学机电工程学院,广东 广州 510006)
Author(s):
CHEN Shizhong1LIU Yansui2WU Pinhong1HU Jie1GUAN Yisheng2LIU Guanfeng2
(1.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510641,China; 2.School of Electro-mechanical Engineering,Guangdong University of Technology,Guangzhou 510006,China)
关键词:
工业机器人 刚度矩阵 刚度性能指标 臂长优化
Keywords:
industrial robot stiffness matrix stiffness performance criterion arm link length optimization
分类号:
TP24
文献标志码:
A
摘要:
基于机器人静刚度模型,分析如何通过机器人臂长及位形优化提高机器人刚度。首先,在机器人典型传动部件刚度计算的基础上,分析刚度矩阵的最小奇异值,将之作为评价机器人静刚度性能的指标。然后,为了衡量机器人在整个工作空间中刚度性能的平均水平,提出采用刚度全域性能指标,并以之作为目标函数对机器人臂杆长度进行优化。最后,以本实验室开发的SCARA机器人为例,展示了优化方法的应用及其效果。
Abstract:
The problem of how to increase the stiffness of a robot through optimization of its link lengths and configuration based on stiffness performance is addresses in this paper. Based on the static stiffness models of typical transmissions of robotic joints, the minimum singular value of the stiffness matrix is first analyzed and taken as a criterion to evaluate stiffness performance. To measure the stiffness performance of a robot in its whole workspace, a global stiffness performance criterion is proposed and used as the objective to optimize link lengths of the robot. Finally, an application of the proposed optimization method is illustrated with the SCARA robot developed in our laboratory as an example. The feasibility and effectiveness of the method are verified by the application of the method.

参考文献/References:

[1]熊友伦,丁汉,刘恩沧.机器人学[M].北京:机械工业出版社,1993.
[2]杜兆才,余跃庆,刘善增.含弹性杆件的并联机器人刚度分析[J].机械工程学报,2011,47(15):9-16.
[3]汪满新,王攀峰,宋轶民,等.4自由度混联机器人静刚度分析[J].机械工程学报,2011,47(15):9-16.
[4] Liu X J,J in Z L,Gao F.Optimum design of3-DOF spherical parallel manipulators with respect to the condition and stiffness indices[J].Mechanism and Machine Theory,2000,35(9):1257-1267.
[5] Huang T,Zhao X Y,Zhou L H,et al.Stiffness estimation of a parallel kinematic machine[J].Science in China(Series E),2001,44(5):473-485.
[6] Simaan N,Shoham M.Geometric interpretation of the derivatives of parallel robots' Jacobi matrix with application to stiffness control[J].Journal of Mechanical Design,2003,125(3):33-42.
[7] Huang S G,Schimmels J M.The bounds and realization of spatial stiffness achieved with simple springs connected in parallel [J].IEEE Transactions on Robotics and Automation,1998,14(3):466 -475.
[8] Huang S G,Schimmels J M.Achieving an arbitrary spatial stiffness with springs connected in parallel[J].ASME Journal of Mechanical Design,1990,120(4):520-526.
[9] Chen S-F,Kao I.Geometrical approach to the conservative congruence transformation(CCT)for robotics stiffness control[C]//Proceedings of the2002 IEEE International Conference on Robotics and Automation,2002:544-549.
[10] Abele E,Weigold M,Rothenbucher S.Modeling and identification of a industrial robot for machining applications[J].Annals of the CIRP,2007,56(1):387-390.
[11] John J Cring.机器人学导论[M].贠超,等译.北京:机械工业出版社,2012.
[12]张玄辉.工业机器人刚度的辨识方法与性能分析[D].武汉:华中科技大学,2009.
[13]李嘉,陈恳,董怡,等.并联柔性铰机器人的静刚度研究[J].清华大学学报:自然科学版,1999,39(8):16-20.
[14] Gosselin C,Angeles J.A global performance index for the kinematic optimization of robotic manipulators[J].ASME Journal of Mechanical Design,1991,11(3):220-226.
[15]闫昊.SCARA机器人动力学分析及鲁棒性控制研究[D].哈尔滨:哈尔滨工业大学,2013.
[16]刘亚洲,韩晓明,杨汝清.关节型机器人手臂臂长参数的一种优化方法[J].机器人技术,2006,33(7):42-44.

相似文献/References:

[1]孔民秀,赵 宁.机器人示教臂系统的示教实现[J].机械与电子,2015,(10):76.
 KONG Minxiu,ZHAO Ning.Realization of Teaching Method by Robot Teaching Arm[J].Machinery & Electronics,2015,(06):76.
[2]刘 爽.工业机器人在物流拣选场景的应用[J].机械与电子,2019,(11):71.
 Application of Industria Robots in Logistics Picking Scenarios[J].Machinery & Electronics,2019,(06):71.
[3]张 华.基于非线性优化算法的工业机器人轨迹跟踪自动控制[J].机械与电子,2023,41(04):55.
 ZHANG Hua.Automatic Trajectory Tracking Control of Industrial Robot Based on Nonlinear Optimization Algorithm[J].Machinery & Electronics,2023,41(06):55.
[4]梁存仙,焦建静,赵志鹏,等.基于改进遗传算法的工业机器人视觉动态分拣方法研究[J].机械与电子,2025,(03):60.
 LIANG Cunxian,JIAO Jianjing,ZHAO Zhipeng,et al.Research on Visual Dynamic Sorting Method of Industrial Robot Based on Improved Genetic Algorithm[J].Machinery & Electronics,2025,(06):60.

备注/Memo

备注/Memo:
收稿日期:2015-03-25
基金项目:国家基金委-广东省联合基金项目(U1401240); 广东省自然科学基金(S2013020012797); 国家自然科学基金(51375095)
作者简介:陈世钟(1989-),男,福建福州人,硕士研究生,研究方向为工业机器人;管贻生(1966-),男,博士,教授,博士研究生导师,研究方向为仿生机器人,机器人模块化、产业化及其应用,机器人自动化生产线的研究与开发等,通信作者。
更新日期/Last Update: 2015-06-26