[1]钱鸿巍,李成刚,杜兆才,等.机器人负载惯性参数的快速辨识[J].机械与电子,2023,41(04):65-70.
　QIAN Hongwei,LI Chenggang,DU Zhaocai,et al.Fast Identification of Dynamic Parameters of Robot Load[J].Machinery & Electronics,2023,41(04):65-70.
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机器人负载惯性参数的快速辨识()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
41
期数:
2023年04期
页码:
65-70
栏目:
机电一体化技术
出版日期:
2023-04-27

文章信息/Info

Title:
Fast Identification of Dynamic Parameters of Robot Load
文章编号:
1001-2257 ( 2023 ) 04-0065-06
作者:
钱鸿巍 1 ; 李成刚 1 ; 杜兆才 2 ; 李 檬 1 ; 储亚东 1
1. 南京航空航天大学机电学院,江苏 南京 210016 ;
2. 中国航空制造技术研究院数字化制造航空科技重点实验室,北京 100024
Author(s):
QIAN Hongwei1 ;  LI Chenggang1 ;  DU Zhaocai2 ;  LI Meng1 ;  CHU Yadong1
( 1.College of Mechanical and Electrical Engineering , Nanjing University of Aeronautics and Astronautics , Nanjing 210016 , China ; 2.Key Laboratory of Digital Manufacturing Aviation Science and Technology , China Aerospace Manufacturing Technology Research Institute , Beijing 100024 , China )
关键词:
机器人; 动力学; 参数辨识; 激励轨迹
Keywords:
robot ;  dynamics ;  parameter identification ;  excitation trajectory
分类号:
TP242
文献标志码:
A
摘要:
机器人的惯性参数辨识是基于动力学模型控制器设计的基础,除了需要辨识机器人自身的惯性参数外,还需要快速准确地辨识负载的惯性参数。针对需要更换负载的工作场景,提出了一种快速辨识负载的激励轨迹,该轨迹不需要经过优化,即可在短时间内覆盖更多的机器人运动状态,从而获得更为全面的采样参数集,提高了辨识效率的同时增强了辨识模型的泛化能力。实验表明,辨识的结果与负载模型的 CAD 参数符合,机器人关节理论力矩能较好地拟合实际驱动力矩,验证了负载参数的正确性。
Abstract:
Inertial parameter identification of robot is the basis of controller design based on dynamic model.In addition to identifying the inertial parameters of robot itself , it is also necessary to quickly and accurately identify the dynamic inertial parameters of load.For the working scene where the load needs to be replaced , an excitation trajectory that can quickly identify the load is proposed.The trajectory can cover more robot motion states in a short time without optimization , so as to obtain a more comprehensive set of sampling parameters , which improves the identification efficiency and enhances the generalization ability of the identification model.The experimental results show that the identification results are consistent with the CAD parameters of the load model , and the theoretical torque of the robot joint can better fit the actual driving torque , which verifies the correctness of the load parameters.

参考文献/References:

[ 1 ] KOSTIC D , JAGER B D , STEINBUCH M , et al.Modeling and identification for high-performance robot control : an RRR-robotic arm case study[ J ] .IEEE Transactions on control systems technology , 2004 , 12( 6 ): 904-919.

[ 2 ] BONA B , INDRI M , SMALDONE N.Rapid prototy ping of a model-based control with friction compensation for a direct-drive robot[ J ] .IEEE ASME Transactions on mechatronic , 2006 , 11 ( 5 ): 576-584.
[ 3 ] 王树新,张海根,黄铁球,等 .机器人动力学参数辨识方法的研究[ J ] .机械工程学报,1999 , 35 ( 1 ):23-26.
[ 4 ] VERDONCK W.Experimental robot and payload identification with application to dynamic trajectory compensation [ M ] .Heverlee , Belgium : University of Leuven , 2004.
[ 5 ] KINSHEEL A , TAHA Z , DEBOUCHAL A , et al.Robust least square estimation of the CRS A465 robot arm’s dynamic model parameters [ J ] .Journal of mechanical engineering research , 2012 , 4 ( 3 ): 89-99.
[ 6 ] 刘海涛 . 工业机器人的高速高精度控制方法研究[ D ] .广州:华南理工大学,2012.
[ 7 ] 王殿君,关似玉,陈亚,等 . 六自由度搬运机器人动力学分析及仿真[ J ] . 机械设计与制造, 2017 ( 1 ):25-29.
[ 8 ] ARMSTRONG B.On finding exciting trajectories for identification experiments involving systems with nonlinear dynamics [ J ] .International journal of robotics research , 1989 , 8 ( 6 ): 28-48.
[ 9 ] MAYEDA H , YOSHIDA K , OSUKA K.Base parameters of manipulator dynamic models[ J ] .IEEE Transactions on robotics and automation , 1990 , 6 ( 3 ): 312-321.
[ 10 ] HUO W.New formulas for complete determining base parameters of robots [ C ]// IEEE International Conference on Robotics and Automation , 1995 , 3 :3021-3026.
[ 11 ] ATKESON C G , AN C H , HOLLERBACH J M.Estimation of inertial parameters of manipulator loads and links [ J ] .International journal of robotics research , 1986 , 5 ( 3 ): 101-119.
[ 12 ] SWEVERS J , GANSEMAN C , SCHUTTER J D , et al.Experimental robot dentification using optimized periodic trajectories [ J ] .Mechanical systems and signal processing , 1996 , 10 ( 5 ): 561-577.
[ 13 ] 吴文祥,朱世强,靳兴来 . 基于改进傅里叶级数的机器人动力学参数辨识 [ J ] . 浙江大学学报 (工学版),2013 , 47 ( 2 ): 231-237.
[ 14 ] 肖曦,许青松,王雅婷,等 . 基于遗传算法的内埋式永磁同步电机参数辨识方法[ J ] . 电工技术学报, 2014 ,29 ( 3 ): 21-26.
[ 15 ] 赵洋,韦莉,张逸成,等 . 基于粒子群优化的超级电容器模型结构与参数辨识 [ J ] . 中国电机工程学报,2012 , 32 ( 15 ): 155-161 , 2.
[ 16 ] MIRJALILI S , MIRJALILI S M , LEWIS A.Grey wolf optimizer [ J ] .Advances in engineering software , 2014 ,69 : 46-61.
[ 17 ] 陶婕妤 . 基于动力学参数辨识的工业机器人力/位柔顺控制的研究[ D ] . 武汉:华中科技大学,2019.

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备注/Memo

备注/Memo:
收稿日期: 2022-10-14
基金项目:南京航空航天大学研究生科研与实践创新项目( xcxjh20210501 );中国航空科学基金项目( 201916052001 )
作者简介:钱鸿巍 ( 1997- ),男,江苏南通人,硕士研究生,研究方向为智能机器人技术;李成刚 ( 1975- ),男,江苏南京人,副教授,硕士研究生导师,研究方向为工业机器人技术和传感器技术。
更新日期/Last Update: 2023-05-11