Skip to main content

An Experimental Comparison for the Accuracy Improvement of a 6-PSS Parallel Manipulator by Choosing Different Sets of Measurement Data

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9245))

Abstract

An experiment of kinematic calibration is conducted to improve the positioning accuracy of a 6-PSS parallel manipulator for large components assembly. To ensure the positioning accuracy of the manipulator with a higher level, the end effector’s pose and position data, which are obtained by the laser tracker, are respectively used in the calibration. The accuracy improvements are compared between the usages of poses and position data and the result shows that though the measurement device has the capability of obtaining the six dimensional poses of the end effector, it is still better to use the position data rather than the pose data to do the kinematic calibration, especially for some large scaled components positioning, for the orientation error may make a bigger influence than the position error in the positioning of the end effector.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mooring, B.W., Roth, Z.S., Driels, M.R.: Fundamentals of manipulator calibration (1991)

    Google Scholar 

  2. Merlet, J.P.: Parallel robots. Springer Science & Business Media (2006)

    Google Scholar 

  3. Khalil, W., Dombre, E.: Modeling, identification and control of robots. Butterworth-Heinemann (2004)

    Google Scholar 

  4. Liu, H., Huang, T., Chetwynd, D.G.: A general approach for geometric error modeling of lower mobility parallel manipulators. Journal of Mechanisms and Robotics 3(2), 021013 (2011)

    Article  Google Scholar 

  5. Zhong, G., Wang, C., Yang, S., et al.: Position geometric error modeling, identification and compensation for large 5-axis machining center prototype. International Journal of Machine Tools and Manufacture 89, 142–150 (2015)

    Article  Google Scholar 

  6. Andreff, N., Martinet, P.: Unifying kinematic modeling, identification, and control of a Gough-Stewart parallel robot into a vision-based framework. IEEE Transactions on Robotics 22(6), 1077–1086 (2006)

    Article  Google Scholar 

  7. Shen, G., Funabashi, H.: A DBB-based kinematic calibration method for in-parallel actuated mechanisms using a Fourier series (2004)

    Google Scholar 

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

    Article  Google Scholar 

  9. Chiu, Y.J., Perng, M.H.: Self-calibration of a general hexapod manipulator with enhanced precision in 5-DOF motions. Mechanism and Machine Theory 39(1), 1–23 (2004)

    Article  MATH  Google Scholar 

  10. Khalil, W., Besnard, S.: Self calibration of Stewart-Gough parallel robots without extra sensors. IEEE Transactions on Robotics and Automation 15(6), 1116–1121 (1999)

    Article  Google Scholar 

  11. Rauf, A, Ryu J. Fully autonomous calibration of parallel manipulators by imposing position constraint. IEEE International Conference on Robotics and Automation. Proceedings 2001 ICRA, vol. 3, pp. 2389–2394. IEEE (2001)

    Google Scholar 

  12. Hollerbach, J.M., Wampler, C.W.: The calibration index and taxonomy for robot kinematic calibration methods. The International Journal Of Robotics Research 15(6), 573–591 (1996)

    Article  Google Scholar 

  13. Hernández-Martínez, E.E., López-Cajún, C.S., Jáuregui-Correa, J.C.: Calibration of Parallel Manipulators and their Application to Machine Tools. A State of the Art Survey Calibración de manipuladores paralelos y su aplicación a las máquinas herramienta. Un Estudio del estado del arte. Dr. José Narro Robles, 141 (2010)

    Google Scholar 

  14. Everett, L.J., Lin, C.Y.: Kinematic calibration of manipulators with closed loop actuated joints. Proceedings of the 1988 IEEE International Conference on Robotics and Automation, pp. 792–797. IEEE (1988)

    Google Scholar 

  15. Wang, J., Masory, O.: On the accuracy of a Stewart platform. i. The effect of manufacturing tolerances. In: Proceedings of the 1993 IEEE International Conference on Robotics and Automation, pp. 114–120. IEEE (1993)

    Google Scholar 

  16. Masory, O., Wang, J., Zhuang, H.: On the accuracy of a stewart platform. II. Kinematic calibration and compensation. In: Proceedings of the 1993 IEEE International Conference on Robotics and Automation, pp. 725–731. IEEE (1993)

    Google Scholar 

  17. Hollerbach, J.M., Lokhorst, D.M.: Closed-loop kinematic calibration of the RSI 6-DOF hand controller. IEEE Transactions on Robotics and Automation 11(3), 352–359 (1995)

    Article  Google Scholar 

  18. Arun, K.S., Huang, T.S., Blostein, S.D.: Least-squares fitting of two 3-D point sets. IEEE Transactions on Pattern Analysis and Machine Intelligence 5, 698–700 (1987)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hao Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Kong, L., Chen, G., Wang, H., Zhao, Y. (2015). An Experimental Comparison for the Accuracy Improvement of a 6-PSS Parallel Manipulator by Choosing Different Sets of Measurement Data. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2015. Lecture Notes in Computer Science(), vol 9245. Springer, Cham. https://doi.org/10.1007/978-3-319-22876-1_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22876-1_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22875-4

  • Online ISBN: 978-3-319-22876-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics