Skip to main content

Hybrid Force-Position Fuzzy Control for a Prosthetic Hand

  • Conference paper
Intelligent Robotics and Applications (ICIRA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8102))

Included in the following conference series:

Abstract

A hybrid force-position fuzzy control strategy is proposed to control a four-link prosthetic hand. Firstly, a dynamics model of the prosthetic hand system is obtained by using Newton-Euler method. Then, a control strategy is designed by combining a PD and a fuzzy logic controllers. The PD controller in the outer-loop is used to control the grasping force. The fuzzy controller in the inner-loop is adopted to control the grasping position. Finally, the prosthesis system with the proposed controller is simulated by pinching different virtual springs and compared with a hybrid force-velocity controller. The simulation results show the hybrid force-position fuzzy control method is more effective.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Carrozza, M.C., Cappiello, G., Stellin, G., Zaccone, F., Vecchi, F., Micera, S., Dario, P.: On the development of a novel adaptive prosthetic hand with compliant joints: experimental platform and EMG control. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3951–3956 (2005)

    Google Scholar 

  2. Tomovic, R., Boni, G.M.: An adaptive artificial hand. IRE Transactions on Automatic Control 7(3), 3–10 (1962)

    Google Scholar 

  3. Groome, R.C.T.: Force Feedback Steering of teleoperator System. Master’s Thesis, Massachusetts Institute of Technology (1972)

    Google Scholar 

  4. Raibert, M.H., Craig, J.J.: Hybrid position/force control of manipulator. Transactions of the ASME, Journal of Dynamic Systems, Measurement, and Control 103(2), 126–133 (1981)

    Google Scholar 

  5. Muzumdar, A.: Powered Upper Limb Prostheses. Springer, Berlin (2004)

    Google Scholar 

  6. Sciavicco, L., Siciliano, B.: Modeling and Control of Robot Manipulators, 2nd edn. Springer, New York (2000)

    Google Scholar 

  7. Dillon, G., Horch, K.: Direct neural sensory feedback and control of a prosthetic arm. IEEE Trans. Neural Syst. Rehabil. Eng. 13(4), 468–472 (2005)

    Google Scholar 

  8. Scherillo, P., Siciliano, B., Zollo, L., Carrozza, M., Guglielmelli, M., Dario, P.: Parallel force/position control of a novel biomechatronic hand prosthesis. In: Proc. IEEE/ASME Int. Conf. Adv. Intell. Mechatron, pp. 920–925 (2003)

    Google Scholar 

  9. Engeberg, E.D., Meek, S.G., Minor, M.A.: Hybrid force-velocity sliding mode control of a prosthetic hand. IEEE Trans. Biomed. Eng. 55(5), 1572–1581 (2008)

    Google Scholar 

  10. Li, H.X., Gatland, H.B., Green, A.W.: Fuzzy variable structure control. IEEE Trans. Syst. Man, Cybern. B 27(2), 306–312 (1997)

    Article  Google Scholar 

  11. Duan, X.G., Li, H.X., Deng, H.: Effective tuning method for fuzzy PID with internal model control. Ind. Eng. Chem. Res. 47(21), 8317–8323 (2008)

    Article  Google Scholar 

  12. Li, Y., Kiam, H.A., Gregory, C.Y.: PID Control System Analysis and Design. IEEE Contr. Syst. Mag., 32–41 (2006)

    Google Scholar 

  13. Duan, X.G., Li, H.X., Deng, H.: Robustness of fuzzy PID controller due to its inherent saturation. Journal of Process Control 22(2), 470–476 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhu, G., Duan, X., Deng, H. (2013). Hybrid Force-Position Fuzzy Control for a Prosthetic Hand. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40852-6_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40851-9

  • Online ISBN: 978-3-642-40852-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics