Skip to main content
Log in

Research on the kinematic calibration of the 3-PTT parallel mechanism

  • Original Article
  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

Most of the kinematic calibration methods of parallel mechanisms only consider the geometric error of the mechanism, and the calibration effect is poor. To improve the calibration effect, this paper takes the 3-PTT (3-prismatic hook hook) parallel mechanism as the research object and proposes a kinematics calibration method based on the normalized representation model of the geometric error and non-geometric error of the mechanism. First, the degree of freedom of the mechanism is analyzed, its kinematics positive and negative solutions are solved, and its singularity is analyzed. Secondly, a normalized characterization method of mechanism geometric errors and non-geometric errors is proposed, and an error model without redundant parameters is constructed. The end motion error of the machine is measured by laser tracker, and the objective function is constructed. The genetic algorithm is designed to solve the minimum value of the objective function, and the normalized error of the mechanism is identified. By comparing with the recent methods, the better identification performance of the algorithm in this paper is verified. Finally, the kinematics model was corrected according to the identification results. After the calibration was completed, the movement errors of the end of the mechanism along each coordinate axis were reduced by more than 99 %. Compared with other calibration methods, the better calibration performance of the method in this paper is verified.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. J. D. Niu, Study on parallel mechanism surgical assistance robot system based on optical navigation, Master’s Thesis, Shanghai Jiaotong University (2019).

  2. G. W. Pan, Research on reconfigurable alignment pose systems for aircraft assembly based on parallel configuration, Ph.D. Thesis, Nanjing University of Aeronautics and Astronautics (2020).

  3. T. Zhang, G. C. Ma and Y. C. Cao, Trajectory tracking control of a 3-CRU translational parallel robot based on PD+ robust controller, Journal of Mechanical Science and Technology, 36 (8) (2022) 4243–4255.

    Article  Google Scholar 

  4. C. Xia, Kinematic calibration of the robot based on GCA, Master’s Thesis, Zhejiang University of Technology (2021).

  5. J. Zhang, S. J. Jiang and C. C. Chi, Kinematic calibration of a 2UPR&2RPS redundantly actuated parallel robot, Journal of Mechanical Engineering, 57 (15) (2021) 62–70.

    Article  Google Scholar 

  6. Z. Q. Ma et al., Kinematic calibration of 3-PPPS parallel wing posture adjustment mechanism, Computer Integrated Manufacturing Systems, 21 (9) (2015) 2378–238.

    Google Scholar 

  7. X. X. Zhang et al., The kinematic calibration of 6-UPS Parallel manipulator, Mechanical Design and Manufacturing Engineering, 49 (5) (2020) 20–25.

    Google Scholar 

  8. W. Tian et al., Kinematic calibration of a 5-DOF hybrid kinematic machine tool by considering the illposed identification problem using regularisation method, Robotics and Computer-Integrated Manufacturing, 60 (2019) 49–62.

    Article  Google Scholar 

  9. Y. J. Ren et al., Method of robot calibration based on laser tracker, Journal of Mechanical Engineering, 43 (9) (2007) 195–200.

    Article  Google Scholar 

  10. V. B. Saputra, S. K. Ong and A. Y. C. Nee, Optimum calibration of a parallel kinematic manipulator using digital indicators, Advances in Manufacturing, 2 (3) (2014) 222–230.

    Article  Google Scholar 

  11. L. Y. Kong, Kinematic error modeling and parameter identifiability analysis of parallel mechanisms, Ph.D. Thesis, Shanghai Jiaotong University (2018).

  12. H. N. Nguyen, J. Zhou and H. J. Kang, A calibration method for enhancing robot accuracy through integration of an extended Kalman filter algorithm and an artificial neural network, Neurocomputing, 151 (2015) 996–1005.

    Article  Google Scholar 

  13. X. M. Zhang and H. Liu, A clearance approach of kinematic calibration and error compensation for 3-RRR parallel robot, Journal of South China University of Technology (Natural Science Edition), 42 (7) (2014) 97–103.

    Google Scholar 

  14. H. Zhuang, K. Wang and Z. S. Roth, Simultaneous calibration of a robot and a hand-mounted camera, IEEE Transactions on Robotics and Automation, 11 (5) (1995) 649–660.

    Article  Google Scholar 

  15. A. Traslosheros et al., An inexpensive method for kinematic calibration of a parallel robot by using one hand-held camera as main sensor, Sensors, 13 (8) (2013) 9941–9965.

    Article  Google Scholar 

  16. G. Yang et al., Self-calibration of three-legged modular reconfigurable parallel robots based on legend distance errors, Robotica, 19 (2) (2001) 187–198.

    Article  Google Scholar 

  17. H. Zhuang, Self-calibration of parallel mechanisms with a case study on Stewart platforms, IEEE Transactions on Robotics and Automation, 13 (3) (1997) 387–397.

    Article  Google Scholar 

  18. A. Ashkzari and A. Azizi, Introducing genetic algorithm as an intelligent optimization technique, Applied Mechanics and Materials, Trans. Tech. Publications, Switzerland, 568 (2014) 793–797.

    Google Scholar 

  19. A. Azizi, A case study on computer-based analysis of the stochastic stability of mechanical structures driven by white and colored noise: utilizing artificial intelligence techniques to design an effective active suspension system, Complexity, 2020 (2020) 1–8.

    Google Scholar 

  20. A. Azizi, Applications of artificial intelligence techniques to enhance sustainability of industry 4.0: design of an artificial neural network model as dynamic behavior optimizer of robotic arms, Complexity, 2020 (2020) 1–10.

    Google Scholar 

  21. A. Azizi et al., Intelligent mobile robot navigation in an uncertain dynamic environment, Applied Mechanics and Materials, Trans. Tech. Publications, Switzerland, 367 (2013) 388–392.

    Article  Google Scholar 

  22. A. Azizi et al., Introducing neural networks as a computational intelligent technique, Applied Mechanics and Materials, Trans. Tech. Publications, Switzerland, 464 (2014) 369–374.

    Google Scholar 

  23. S. Rashidnejhad et al., Optimal trajectory planning for parallel robots considering time-jerk, Applied Mechanics and Materials, Trans. Tech. Publications, Switzerland, 390 (2013) 471–477.

    Google Scholar 

  24. G. J. Li et al., Error compensation of end-effector position for the cable-driven parallel robot based on multigroup coevolutionary algorithm, ROBOT, 43 (1) (2021) 81–89.

    Google Scholar 

  25. P. Yuan et al., A compensation method based on extreme learning machine to enhance absolute position accuracy for aviation drilling robot, Advances in Mechanical Engineering, 10 (3) (2018) 1–11.

    Article  Google Scholar 

  26. H. F. Dong, S. X. Gao and J. H. Song, Position accuracy compensation of Delta robot based on RBF neural network composites, Science Technology and Engineering, 20 (31) (2020) 12883–12889.

    Google Scholar 

  27. Z. K. Qin, Research on pose error modeling and its compensation for 6-DOF robot, Master’s Thesis, Huazhong University of Science and Technology (2018).

  28. Q. H. Wu, Analysis of motion characteristics of different structures of 3-PUU, Science and Technology Information, 13 (11) (2015) 63.

    Google Scholar 

  29. T. L. Yang, Topology of Robot Mechanism, China Machine Press, Beijing (2004).

    Google Scholar 

  30. T. M. Li, J. L. Zhang and F. C. Li, Kinematic calibration of parallel kinematic machine tool, Aviation Manufacturing Technology (6) (2016) 41–46.

  31. X. Shi, Analysis and research on the static error of 3-UPU parallel mechanism, Master’s Thesis, Heilongjiang University (2020).

  32. T. Li, Error analysis and compensation of a novel 3-RRCPR parallel pointing mechanism, Master’s Thesis, Yanshan University (2021).

  33. H. Zhang, The modeling and parameter identification method for calibration of the industrial robot, Master’s Thesis, Harbin Institute of Technology (2015).

  34. F. Liu, Kinematics parameter identification and compensation of an industrial robot, Master’s Thesis, Kunming University of Science and Technology (2018).

  35. C. Chen, Workspace optimization and kinematics calibration of a new 3-PUU parallel robot, Master’s Thesis, Chongqing University (2018).

  36. M. F. Chen et al., A precise control method for the end of 3-PTT parallel mechanism based on Jacobian+RBF, Journal of Agricultural Machinery, 54 (2) (2023) 430–440.

    Google Scholar 

Download references

Acknowledgments

This research is supported by the National Natural Science Foundation of China (No. 51965029).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Minfang Chen.

Additional information

Liang’en Huang is currently a master’s student in mechanical and electronic engineering at the Kunming University of Technology. His research interests are robot human technology and application, and machine vision.

Mingfang Chen is currently a Professor and doctoral supervisor at the Kunming University of Technology. He received his doctorate in machinery manufacturing and automation from the Northeast University of China in 2015. His research direction is robot control algorithm, intelligent control theory, and its application.

Shigao Zheng is currently a master of mechanical and electronic engineering at the Kunming University of Technology. His research interests are robot technology and application, and electromechanical system integration technology.

Chaoyin He is currently a master of mechanical and electronic engineering at the Kunming University of Technology. His research direction is robot technology and application.

Enxiao Zhu is currently a master of mechanical and electronic engineering at the Kunming University of Technology. His research direction is the mechanical design of new mobile robots.

Yongxia Zhang is currently a senior engineer at Kunming University of Technology. Her research interests include ultrasonic cutting technology, robot control theory, circuit analysis, and engineering applications.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, L., Chen, M., Zheng, S. et al. Research on the kinematic calibration of the 3-PTT parallel mechanism. J Mech Sci Technol 37, 4311–4325 (2023). https://doi.org/10.1007/s12206-023-0747-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-023-0747-4

Keywords

Navigation