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Analysis of error causes and methods to improve robot positioning accuracy

Authors: Zhu Liangliang 
Published in issue: #5(70)/2022
DOI: 10.18698/2541-8009-2022-5-797


Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics

Keywords: robot accuracy, robot positioning errors, error prevention, accuracy compensation, online detection feedback control technology, autonomous calibration technology, calibration of robot kinematic models, calibration of robot’s physical constraints, model-free calibration technology
Published: 24.06.2022

The reasons affecting the positioning accuracy of robots are analyzed. Various standards are used to make a multidimensional classification of positioning errors. Two main ways to improve the accuracy of robot positioning are considered: error prevention and error compensation, and the conditions for their application are characterized. Within the framework of the mentioned methods, a review of the methods providing the accuracy of robot positioning is performed, the conditions of their application are analyzed, the advantages and disadvantages of each method are summarized. The results of the study provide a basis for the further development of algorithms for eliminating the positioning errors of robots, as well as for designing high-precision robots and improving the positioning accuracy of existing robots.


References

[1] Tian W., Liao W. Accuracy compensation technology and application of industrial robot. Science Press, 2019.

[2] Feng M. Research on high precision 3-PPSR Parallel micro-manipulator. Master tech. sci. diss. Harbin, Harbin Institute of Technology, 2009.

[3] Balanev N.V., Yanov R.A. Analysis of factors making effect on positioning accuracy of industrial robot and methods for providing given accuracy. Dostizheniya nauki i obrazovaniya, 2016, no. 1, pp. 11–14 (in Russ.).

[4] Mei D. Compensation method of 6R industrial robot positioning accuracy. Master tech. sci. diss. Nanjing, Nanjing University of Aeronautics and Astronautics.

[5] Ma L., Yu Y., Cheng W. et al. Positioning error compensation for a parallel robot based on BP neural networks. Optics and Precision Engineering, 2008, vol. 16, no. 5, pp. 878–883.

[6] Zhou W. Compensation method of industrial robot accuracy and experimental research for aircraft automated assembly. Cand. tech. sci. diss. Nanjing, Nanjing University of Aeronautics and Astronautics, 2012.

[7] Hong P. Robot flexible automatic drilling and riveting integrated control technology based on accuracy compensation application. Master tech. sci. diss. Nanjing, Nanjing University of Aeronautics and Astronautics, 2016.

[8] Wen R. Research on error sources analysis and dynamic simulation of 6-DOF measurement robot. Master tech. sci. diss. Xi’an, Xi’an University of Technology, 2008.

[9] Zhao C. Experimental study of error compensation and calibration of an over-constrained five-DOF hybrid robot. Master tech. sci. diss. Yanshan, Yanshan University, 2019.

[10] Shi C., Zhang T., Ding H. The development of accuracy research on the variable-axes numerical control machine tool. Modular Machine Tool & Automatic Manufacturing Technique, 2001, no. 4, pp. 8–10.

[11] Huang P. Reliability analysis and optimization design of industrial robot kinematic accuracy under mixed uncertainties. Cand. tech. sci. diss. Chengdu, University of Electronic Science and Technology of China, 2021.

[12] Zeng L. Research on the calibration method and control system of planar 3-RRR parallel mechanism. Master tech. sci. diss. Guangzhou, South China University of Technology, 2017.

[13] Yin S. Research on the graded calibration and accuracy maintenance technique for industrial robot. Cand. tech. sci. diss. Tianjin, Tianjin University, 2015.

[14] Roth Z.S., Mooring B., Ravani B. An overview of robot calibration. IEEE Robot. Autom. Lett., 1987, vol. 3, no. 5, pp. 377–385. DOI: https://doi.org/10.1109/JRA.1987.1087124