Skip to main content

Using Fuzzy Logic for Improving the Control Performance of Digital Servo Drives with Elastic Coupling

  • Conference paper
Recent Advances in Automation, Robotics and Measuring Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 267))

  • 3654 Accesses

Abstract

In the paper a method for improving the control performance for a typical digital servo drive with a torsionable lead-screw and nonlinear static friction is presented. The method is based on employing an additional feedback the operational intensity of which is determined by means of fuzzy logic. Computer simulations show that the presented solution provides high control accuracy for motions at velocities close to zero and stepwise changes in the position set-point.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. ACOPOS – Users manual, Bernecker & Rainer

    Google Scholar 

  2. Broel-Plater, B.: A method for performance of low-speed control designed for a digital servo drive. Przegląd Elektrotechniczny 88(10a), 74–79 (2012) (in polish)

    Google Scholar 

  3. Dornfeld, D., Lee, D.-E.: Precision Manufacturing. Springer, Heidelberg (2008)

    Book  Google Scholar 

  4. Kamiński, M., Orłowska-Kowalska, T.: Application of Radial Basic Funktion Neural Networki in speed control of the driver with elastic connection. SENE (2013)

    Google Scholar 

  5. Krishnan, R.: Motor Drives – Modeling, analysis and Control. Prentice Hall (2001)

    Google Scholar 

  6. Makkapati, V.P., Reinchhartinger, M., Horn, M.: Performed Improvement of a Servo Drives with Mechanical Elasticity via Extended Acceleration Feedback. In: IEEE Intern. Conf. on Control Application, Dubrownik, pp. 1279–1284 (2012)

    Google Scholar 

  7. Rutkowski, L.: Computational Intelligence. Methods and Techniques. Springer, Heidelberg (2008)

    Book  MATH  Google Scholar 

  8. Sato, K., Nakamoto, K., Shimokohbe, A.: Practical control of precision positioning with friction. Precision Engineering 28, 426–434 (2004)

    Article  Google Scholar 

  9. Suh, S.-H., Kang, S.-K., et al.: Theory and Design of CMC Systems. Springer, Heidelberg (2003)

    Google Scholar 

  10. Sato, K., Nakamoto, K., Shimokohbe, A.: Practical control of precision positioning with friction. Precision Engineering 28, 426–434 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bogdan Broel-Plater .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Broel-Plater, B. (2014). Using Fuzzy Logic for Improving the Control Performance of Digital Servo Drives with Elastic Coupling. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Recent Advances in Automation, Robotics and Measuring Techniques. Advances in Intelligent Systems and Computing, vol 267. Springer, Cham. https://doi.org/10.1007/978-3-319-05353-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05353-0_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05352-3

  • Online ISBN: 978-3-319-05353-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics