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Development of Wheel-Terrain Interaction Device for Mobility Prediction of Off-road Vehicle

야지 차량의 기동성 예측을 위한 휠-토양 상호작용 시험장치 개발

  • Oh, Hyunhwan (Department of Mechanical Engineering, Myongji University) ;
  • Kim, Gwanyoung (Department of Mechanical Engineering, Myongji University) ;
  • Kim, Jinseong (Department of Mechanical Engineering, Myongji University) ;
  • Shin, Yongjae (Agency for Defense Development) ;
  • Lee, Kyu-Jin (Department of Mechanical Engineering, Myongji University) ;
  • Choi, Minsuk (Department of Mechanical Engineering, Myongji University) ;
  • Lee, Soo Jin (Department of Mechanical Engineering, Myongji University)
  • Received : 2014.09.29
  • Accepted : 2014.11.04
  • Published : 2014.12.01

Abstract

This paper presents on the development of wheel-terrain interaction device using low-priced sensors, which will be used to predict the drawbar pull and optimal slip of off-road vehicle in real time. The essential variables obtained in the device to predict the mobility of vehicles are determined based on semi-empirical model describing the wheel-terrain interaction. Using the developed device, the experiments about the wheel-terrain interaction were performed on the soil of the Jumunjin standard sand, which yielded dynamic weight, motor driving torque, drawbar pull, and sinkage with respect to wheel slip ratio. Finally, the repeatability of the measured data are verified through repeating the experiments three times on the same condition.

Keywords

References

  1. Ciobotaru, T., 2009, Semi-empiric Algorithm for Assessment of the Vehicle Mobility, Leonardo Electronic Journal of Practices and Technologies, Issue 15, pp.19-30.
  2. Kim, J. and Lee, J., 2013, Prediction of Maneuverability and Efficiency for a Mobile Robot on Rough Terrain through the Development of a Testbed for Analysis of Robot-terrain Interaction, Journal of Korea Robotics Society, 8(2), pp.116-128. https://doi.org/10.7746/jkros.2013.8.2.116
  3. Brixius, W.W., 1987, Traction Prediction Equations for Bias Ply Tires, ASAE, Paper No. 87-1622.
  4. Bekker, M.G., 1956, Theory of Land Locomotion; the Mechanics of Vehicle Mobility, The University of Michigan Press, Ann Arbor, pp.186-282.
  5. Bekker, M.G., 1969, Introduction to Terrain-vehicle System, University of Michigan Press, Ann Arbor, pp.256-382.
  6. Hutangkabodee, S., Zweiri, Y., Seneviratne, L. and Althoefer, K., 2008, Soil Parameter Identification and Driving Force Prediction for Wheelterrain Interaction, International Journal of Advanced Robotic Systems, 5(4), pp.425-432
  7. Ding, L., Gao, H., Deng, Z., Nagatani, K. and Yoshida, K., 2011, Experimental Study and Analysis on Driving Wheel's Performance for Planetary Exploration Rovers Moving in Deformable Soil, Journal of Terramechanics, 48(1), pp.27-45. https://doi.org/10.1016/j.jterra.2010.08.001
  8. Gerhart, G.R., Laughery, S.C. and Goetz, R.C., 2000, Off-road Vehicle Locomotion using Bekker's Model, Proceedings of SPIE, Unmanned Ground Vehicle Technology II, Orlando, USA, pp.127-136.
  9. Wong, J.Y. and Reece, A.R., 1967, Prediction of Rigid Wheel Performance Based on Analysis of Soil-wheel Stresses: Part I. Performance of Driven Rigid Wheels, Journal of Terramechanics, 4(1), pp.81-98. https://doi.org/10.1016/0022-4898(67)90105-X
  10. Wong, J.Y. and Reece, A.R., 1967, Prediction of Rigid Wheel Performance Based on Analysis of Soil-wheel Stresses: Part II. Performance of Towed Rigid Wheels, Journal of Terramechanics, 4(2), pp.7-25.
  11. Senatore, C. and Sandu, C., 2011, Torque Distribution Influence on Tractive Efficiency and Mobility of Off-road Wheeled Vehicles, Journal of Terramechanics, 48(5), pp.372-383. https://doi.org/10.1016/j.jterra.2011.06.008
  12. Wong, J.Y., 2008, Theory of Ground Vehicle. 4th ed., John Wiley & Sons, Inc, pp.114-124, pp.175-202.
  13. Janosi, Z. and Hanamoto, B., 1961, Analytical Determination of Drawbar Pull as a Function of Slip for Tracked Vehicles in Deformable Soils, Proceedings of the 1st International Conference on Terrain-vehicle System, Turin, Italy, pp.707-736.