机器人几何参数标定误差模型对定位精度影响研究

doi:10.3969/j.issn.1000-1158.2024.08.04

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Abstract The geometric parameter error of robots is the main factor affecting the positioning accuracy of robots, and the positioning accuracy of robots can be effectively improved by calibrating the geometric parameters.In order to solve the singularity problem of robots in the calibration process, improved Denavit-Hartenberg (MDH) method is adopted to establish the geometric parameter model of robots.Based on the principle of differential error, the full position error, position error, and attitude error models of robot geometric parameter calibration are established.The redundancy of geometric parameters and identifying geometric parameter errors are analyzed by using Levenberg-Marquardt(LM) algorithm and the influence of different error models on robot positioning accuracy are studied.The experimental results show that the accuracy of both position and attitude can be improved by about 75% after the geometric parameters are be calibrated based on the full position error model.And it is suitable for promotion and application in robots with high-precision positioning requirements.

Key words： geometric measurement positioning accuracy robot MDH model redundancy parameters error model

Received: 25 December 2023 Published: 05 September 2024

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TB92

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	Articles by authors
	WANG Dongxia
	TANG Ying
	LI Guocheng
	WEN Xiulan
	QIAN Kui

Cite this article:

WANG Dongxia,TANG Ying,LI Guocheng, et al. Research on the Influence of Robot Geometric Parameter Calibration Error Model on Positioning Accuracy[J]. Acta Metrologica Sinica, 2024, 45(8): 1108-1114.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2024.08.04 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2024/V45/I8/1108

［2］	GREENWAY B. Robot accuracy ［J］. Industrial Robot: An International Journal, 2000, 27(4): 257-265.
［9］	廖文和, 田威, 李波, 等. 机器人精度补偿技术与应用进展［J］. 航空学报. 2022, 43(5): 9-30.
［11］	赵艺兵, 温秀兰, 乔贵方, 等. 基于几何参数标定的串联机器人精度提升［J］. 计量学报, 2020, 41 (12): 1461-1467.
［12］	姜一舟, 于连栋, 常雅琪, 等. 基于改进差分进化算法的机器人运动学参数标定［J］. 光学精密工程, 2021, 29(7): 1580-1588.
［1］	中华人民共和国工业和信息化部等十五部门, 关于印发《“十四五”机器人产业发展规划》的通知［EB/OL］. 2021. 12. 21, https: //www. gov. cn/zhengce/zhengceku/2021-12/28/content_5664988. htm.
［3］	LI Z B, LI S, LUO X. An Overview of Calibration Technology of Industrial Robots［J］. IEEE/CAA Journal of Automatica Sinica, 2021, 8(1): 23-36.
［5］	CHEN G, LI T, CHU M, et al. Review on Kinematics Calibration Technology of Serial robots ［J］. International Journal of Precision Engineering and Manufacture, 2014, 15(8): 1759-1774.
［7］	JOUBAIR A, BONEV I A. Kinematic calibration of a six-axis serial robot using distance and sphere constraints ［J］. The International Journal of Advanced Manufacturing Technology, 2015, 77(1-4): 515-523.
［13］	温秀兰, 宋爱国, 冯月贵, 等. 基于最优位姿集的机器人标定及不确定度评定［J］. 仪器仪表学报, 2022, 43(9): 276-283.
［15］	李海旺, 隋春平, 王宇坤, 等. 协作机器人运动学应用标定方法［J］. 中国科学院大学学报, 2023, 40(4): 555-565.
	LI R, QU X H. Study on calibration uncertainty of industrial robot kinematic parameters ［J］. Chinese Journal of Scientific Instrument, 2014, 35(10): 2193-2199.
	LIAO W H, TIAN W, LI B, et al. Error compensation technology and its application progress of an industrial robot［J］. Acta Aeronautica et Astronautica Sinica, 2022, 43(5): 9-30.
［14］	倪华康, 杨泽源, 杨一帆, 等. 考虑基坐标系误差的机器人运动学标定方法［J］. 中国机械工程, 2022, 33(6): 647-655.
［16］	LI B, TIAN W, ZHANG C F. Positioning error compensation of an industrial robot using neural networks and experimental study ［J］. Chinese Journal of Aeronautics, 2022, 35(2): 346-360.
	BAI M, PANG L J, SHI Y S, et al. An Improvement Method of Cooperative Positioning Accuracy for Dual-Arm Robot Based on the Combination of Parametric and Non-Parametric Models ［J］. Robot, 2023, 45(3): 276-286.
［4］	QI J D, CHEN B, ZHANG D H. Compensation for Absolute Positioning Error of Industrial Robot Considering the Optimized Measurement Space ［J］. International Journal of Advanced Robotic Systems, 2020, 17(2): 1-10.
［17］	白明, 庞淋峻, 史羽胜, 等. 基于参数与非参数模型结合的双臂机器人协作定位精度提升方法［J］. 机器人, 2023, 45(3): 276-286.
［6］	NUBIOLA A, BONEV I A. Absolute robot calibration with a single telescoping ballbar ［J］. Precision Engineering, 2014, 38(3): 472-480.
［8］	李睿, 曲兴华. 工业机器人运动学参数标定误差不确定度研究［J］. 仪器仪表学报, 2014, 35(10): 2192-2199.
［10］	WANG W D, SONG H J, YAN Z Y, et al. A universal index and an improved PSO algorithm for optimal pose selection in kinematic calibration of a novel surgical robot ［J］. Robotics and Computer-Integrated Manufacturing, 2018, 50: 90-101.
	ZHAO Y B, WEN X L, QIAO G F, et al. Accuracy Improvement of Serial Robot Based on Geometric Parameters Calibration ［J］. Acta Metrologica Sinica, 2020, 41(12): 1461-1467.
	JIANG Y Z, YU L D, CHANG Y Q, et al. Robot calibration based on modified differential evolution algorithm ［J］. Optics and Precision Engineering, 2021, 29(7): 1580-1588.
	WEN X L, SONG A G, FENG Y G, et al. Robot calibration and uncertainty evaluation based on optimal pose set ［J］. Chinese Journal of Scientific Instrument, 2022, 43(9): 276-283.
	LI H W, SUI C P, WANG Y K, et al. Kinematics application calibration method of collaborative robot ［J］. Journal of University of Chinese Academy of Sciences, 2023, 40(4) : 555-565.
［20］	全国自动化系统与集成标准化技术委员会. 工业机器人性能规范及其试验方法: GB/T 12642-2013［S］. 北京: 中国标准出版社, 2014: 4-24.
	NI H K, YANG Z Y, YANG Y F, et al. Robot Kinematics Calibration Method Considering Base Frame Errors ［J］. China Mechanical Engineering, 2022, 33 (6): 647-655.
［18］	HAYATI S, MIRMIRANI M. Improving the absolute positioning accuracy of robot manipulators ［J］. Journal of Robotic Systems, 1985, 2(4) : 397-413.
［19］	YIER W, ALEXANDR K, STEPHANE C, et. al. Geometric calibration of industrial robots using enhanced partial pose measurements and design of experiments ［J］. Robotics and Computer-Integrated Manufacturing, 2015, 35(1) : 151-168.