Skip to main content

A Feedforward Compensation Method for Control of Join Equilibrium Position

  • Conference paper
  • 5125 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7506))

Abstract

In this paper, a feedforward compensation method is proposed to control a joint equilibrium position. Human hand is dexterous due to the voluntary and reflex. Voluntary and reflex have different control period. The former is relatively slow, and the latter is relatively fast. Thus, a feedforward compensation is used to imitate the voluntary control, and a fuzzy logic controller (FLC) is used to imitate the reflex control. The proposed control method is applied to control a joint. The simulation results demonstrate the effectiveness of the proposed control method.

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. Bauer, C., Milighetti, G., Yan, W., Mikut, R.: Human-like Reflexes for Robotic Manipulation using Leaky Integrate-and-Fire Neurons. In: The IEEE/RSL International Conference on Iintellgient Robots and Systems, Taipei, pp. 2572–2577 (2010)

    Google Scholar 

  2. Xing, D., Su, J., Liu, Y., Zhong, J.: Robust Approach for Humanoid Joint Control based on a Disturbance Obsever. IET Control Theory and Applications 5(14), 1630–1636 (2011)

    Article  MathSciNet  Google Scholar 

  3. Nataraj, R., Audu, M.L., Kirsch, R.F., Triolo, R.J.: Comprehensive Joint Feedback Control for Standing by Functional Neuromuscular Stimulation—A Simulation Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering 18(6), 646–657 (2010)

    Article  Google Scholar 

  4. He, J.P., Maltenfort, M.G., Wang, Q.J., Hamm, T.M.: Learing from Biological Systems: Modeling Neural Control. IEEE Control Systems Magazine, 55–69 (2001)

    Google Scholar 

  5. Soma, H., Horiuchi, Y., González, J., Yu, W.W.: A Study on the Forearm Muscular Reflexes during Grasping For Prosthetic Applications. In: 32nd Annual International Conferences of the IEEE EMBS, Buenos Aires, pp. 4886–4889 (2010)

    Google Scholar 

  6. Lan, N., Li, Y., Yang, F.S.: Reflex Regulation of Antagonist Muscles for Control of Joint Equilibrium Position. IEEE Transactions on Neural Systems and Rehabilitation Engineering 13(1), 60–71 (2005)

    Article  Google Scholar 

  7. Imazeki., K., Maeno, T.: Hierarchical Control Method for Manipulating/Grasping Tasks using Multi-fingered Robot Hand. In: Proceedings of tne IEEE/RSL Intl. Conference on Iintellgient Robots and Systems, Las Vegas, pp. 3686–3691 (2003)

    Google Scholar 

  8. Tresch, M.C.: A balanced view of motor control. Nature Neuroscience 10(10), 1227–1228 (2007)

    Article  Google Scholar 

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

    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. 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

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Duan, XG., Zhang, Y., Deng, H., Yang, HZ. (2012). A Feedforward Compensation Method for Control of Join Equilibrium Position. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33509-9_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33509-9_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33508-2

  • Online ISBN: 978-3-642-33509-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics