Skip to main content

Easy Estimation of Wheel Lift and Suspension Force for a Novel High-Speed Robot on Rough Terrain

  • Chapter
  • First Online:
Field and Service Robotics

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 113))

  • 2096 Accesses

Abstract

In operation of high-speed wheeled robots on rough terrain, it is important to predict or measure the interaction between wheel and ground in order to maintain optimal maneuverability. Therefore, this paper proposes an easy way to estimate wheel lift and suspension force of a high-speed wheeled robot on uneven surfaces. First, a high-speed robot with six wheels with individual steer motors was developed, and with the body of the robot connected to each wheel by semi-active suspensions. In a sensor system, potentiometers, which can measure angle of arms, are mounted at the end of arms and have a critical role in estimating wheel lift and suspension force. A simple dynamic equation of the spring-damper system is used to estimate the suspension force, and the equation is calculated in terms of the suspension displacement by measured angle of arms because the suspension displacement is a function of arm angle in the boundary of the kinematic model of the body–wheel connection. In addition, wheel lift can be estimated using the arm angle. When the robot keeps its initial state without normal force, the arm angle is set as zero point. When the wheels receive the normal force, the link angle is changed to a value higher than zero point. If a wheel does not contact to a ground, then the suspension force goes toward the negative direction as a value. Therefore, if wheel lift happens while driving, the arm angle will follow the zero point or the suspension force will indicate a negative value. The proposed method was validated in ADAM simulations. In addition, the results of the performance were verified through outdoor experiments in an environment with an obstacle using a high-speed robot developed for this purpose.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

References

  1. Kim, J., Lee, J.: Intelligent slip-optimization control with traction-energy trade-off for wheeled robots on rough terrain. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2014)

    Google Scholar 

  2. Krebs, A., Risch, F., Thueer, T., Maye, J., Pradalier, C., Siegwart, R.: Rover control based on an optimal torque distribution—application to 6 motorized wheels passive rover. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2010)

    Google Scholar 

  3. Bouton, N., Lenain, R., Thuilot, B., Martinet, P.: A new device dedicated to autonomous mobile robot dynamic stability: application to an off-road mobile robot. In: IEEE International Conference on Robotics and Automation (ICRA) (2010)

    Google Scholar 

  4. Peters, S.C., Iagnemma, K.: Stability measurement of high-speed vehicles. J. Veh. Syst. Dyn. 47(6), 701–720 (2009)

    Google Scholar 

  5. Mann, M., Shiller, Z.: Dynamic stability of off-road vehicles: quasi-3D analysis. In: IEEE International Conference on Robotics and Automation (ICRA) (2008)

    Google Scholar 

  6. Doumiati, M., Charara, A., Victorino, A., Lechner, D.: Vehicle Dynamics Estimation using Kalman Filtering. Automation—Control and Industrial Engineering Series (2013)

    Google Scholar 

  7. Ishigami, G., Kewlani, G., Iagnemma, K.: Statistical mobility prediction for planetary surface exploration rovers in uncertain terrain. In: IEEE International Conference on Robotics and Automation (ICRA) (2010)

    Google Scholar 

  8. Joo, S.H., Lee, J.H., Park, Y.W., Yoo, W.S., Lee, J.: Real time traversability analysis to enhance rough terrain navigation for an 6 \(\times \) 6 autonomous vehicle. J. Mech. Sci. Technol. 4(27), 1125–1134 (2013)

    Google Scholar 

  9. Matthew, S., Yoji, K., Steven, D., Karl, L.: Hazard avoidance for high-speed mobile robots in rough terrain. J. Field Robot. 5(23), 311–331 (2006)

    Google Scholar 

  10. Krid, M., Benamar, F.: Design and control of an active anti-roll system for a fast rover. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2011)

    Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the support from Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2015R1D1A3A03020805).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jihong Lee .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Kim, J., Jeon, B., Lee, J. (2016). Easy Estimation of Wheel Lift and Suspension Force for a Novel High-Speed Robot on Rough Terrain. In: Wettergreen, D., Barfoot, T. (eds) Field and Service Robotics. Springer Tracts in Advanced Robotics, vol 113. Springer, Cham. https://doi.org/10.1007/978-3-319-27702-8_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27702-8_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27700-4

  • Online ISBN: 978-3-319-27702-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics