Skip to main content

Swing Trajectory Control for Large Excavators

  • Conference paper
Field and Service Robotics

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 62))

Abstract

There is a strong push within the mining sector to automate equipment such as large excavators. A challenging problem is the control of motion on high inertia degrees of freedom where the actuators are constrained in the power they can deliver to and extract from the system and the machine’s underlying control system sits between the automation system and the actuators. The swing motion of an electric mining shovel is a good example. This paper investigates the use of predictive models to achieve minimum time swing motions in order to address the question what level of performance is possible in terms of realizing minimum time motions and accurate positional control. Experiments are described that explore these questions. The work described is associated with a project to automate an electricmining shovel and whilst the control law discussed here is a much simplified form of that used in this work, the experimental study sheds considerable light on the problem.

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
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. ABB Automation Products GmbH.: DCS Thyristor Power Converters for DC Drive Systems 25 to 5150/10300 A, Software Description, DCS600 MultiDrive (2002)

    Google Scholar 

  2. Gelb, A., Vander Velde, W.E.: Multiple-Input Describing Functions and Nonlinear System Design. McGraw-Hill Book Company, New York (1968)

    MATH  Google Scholar 

  3. Graham, D., McRuer, D.: Analysis of Nonlinear Control Systems. John Wiley & Sons Inc., New York (1961)

    MATH  Google Scholar 

  4. Hendricks, P.A., Keran, C.M.: Automation and Safety of Mobile Mining Equipment. Engineering nad Mining Journal (February 1995)

    Google Scholar 

  5. Hocking, L.M.: Optimal Control; An Introduction to the Theory with Applications. Oxford applied mathdmatics and computing science series, pp. 82–98 (1991)

    Google Scholar 

  6. Siegrist, P.M., McAree, P.R., Wallis, D.L., Kearney, M.P., van Geenhuizen, J.A.: Prediction Models for Collision Avoidance on Electric Mining Shovels. In: 2006 Australian Mining Technology Conference, Australia (September 2006)

    Google Scholar 

  7. Singh, S.: State of the Art in Automation of Earthmoving. In: Proceedings of the Wrokshop on Advanced Geomechatronics (October 2002)

    Google Scholar 

  8. Wauge, D.H.: Payload Estimation for Electric Mining Shovels. PhD thesis, Mechanical Engineering, University of Queensland (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Denman, A.W., McAree, P.R., Kearney, M.P., Reid, A.W., Austin, K.J. (2010). Swing Trajectory Control for Large Excavators. In: Howard, A., Iagnemma, K., Kelly, A. (eds) Field and Service Robotics. Springer Tracts in Advanced Robotics, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13408-1_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13408-1_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13407-4

  • Online ISBN: 978-3-642-13408-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics