Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Active steering Control Based on The Estimated Tire Forces

추정된 타이어 힘을 이용한 능동 조향 제어

  • Published : 2000.09.01
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Abstract

Steering of the vehicles on a slippery highway is a difficult task for most passenger car drivers. The steering vehicles on slippery roads tend to slide outward with less lateral forces than on nor mal roads. When the drivers notice that their vehicles on a slippery highway start to depart from the cornering lane, most of them make a sudden steering and/or braking, which in turn may induce spin-out and instability on their vehicles. In this paper, an active steering control method is proposed such that the vehicles in slippery roads are steered as if they are driven on the normal roads. In the proposed method, the estimated lateral forces acting on the steering tires are compared with the reference values and the difference is compensated by the active steering method. A fuzzy logic controller is designed for this purpose and evaluated on a steering Hardware-In-the-Loop Simulation (HILS) system. Steering performance results on the slippery curved and sinus roads demonstrate the effectiveness of the proposed controller. This method can be realized with the steer-by-wire concept and is promising as an active safety technology.

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References

  1. Abe, M., 1989, 'Handling Characteristics of Four Wheel Active Steering Vehicles over Full Maneuvering Range of Lateral and Longitudinal Accelerations,' Proceedings of 11th IAVSD Symposium, Vehicle System Dynamics, Vol. 18, pp. 1-14
  2. Xia, X. and Law, E. H., 1992, 'Nonlinear Analysis of Close-Loop Driver/Automobile Performance with Four Wheel Steering Control,' SAE 92055
  3. Metz, L. D., 1993, 'Dynamics of Four -Wheel-Steer Off-Highway Vehicles,' SAE 930765
  4. Nalecz, A. G. and Bindermann, A.C., 1988, 'Investigation into the stability of four wheel steering vehicles,' Int.J.of Vehicle Design, Vol. 9, No. 2, pp. 159-178
  5. Amano, Y., Kubota, Y. and Sato, K., 1998, 'Development of Steering Assist system (STAR) for the lane Departure Warning,' 5th World Congress on Intelligent Transport System
  6. Isomoto, K., Niibe, T., Suetomi,T. and Butsuen, T., 1995, 'Development of a Lane -Keeping System for Lane Departure Avoidance,' 2nd World Congress on Intelligent Transport System, pp. 1266-1271
  7. LeBlanc, D. J., Johnson, G. E., Venhovens, P. J. Th., Gerber, G., Erven, R. R. D., Lin, C. F., Ulsoy, A. G. and Pilutti, T. E., 1996, 'A road-departure prevention system,' IEEE Control Systems Magazine, Vol. 17, No. 16, pp. 61-71 https://doi.org/10.1109/37.546271
  8. Pilutti, T. and Ulsoy, A. G., 1998, 'Decision Making for Road Departure Warning Systems,' Proc. ACC, pp. 1843-1847 https://doi.org/10.1109/ACC.1998.707335
  9. Lin, C. F., Ulsoy, A. G. and LeBlanc, D. J., 1995, 'Lane Geometry Reconstruction : Least Square Curve Fit Versus Kalman Filter,' ASME proc Advanced Automotive Technologies, Vol. 56, pp. 63-70
  10. Hessburg, T., Peng, H., Tomizuka, M., Zhang,W.B. and Kamei, E., 1991, 'An experimental study on lateral control of a vehicle,' Proc.ACC, pp. 3084-3089
  11. Furukawa, Y. and Abe, M., 1998, 'Direct Yaw Moment Control with Estimating Side-slip Angle by Using On-Board-Tire-Model,' Proceedings of 4th international Symposium on Advanced Vehicle Control, SAE, No.9837030
  12. Ray, L. R., 1998, 'Experimental determination of tire forces and road friction,' Proc.ACC., pp. 1848-1852 https://doi.org/10.1109/ACC.1998.707336
  13. Grewal, M. S., and Andrews, A. P., 1993, Kalman Filtering, Prentice Hall
  14. Huh, K. and Kwak, B., 1997, 'Evaluation of Discrete-Time Well-Conditioned State Observers,' KSME International Journal, Vol. 11, No. 5, pp. 505-512
  15. Palkovics, L., El-Cindy,M. and Pacejka, H.B., 1994, 'Modeling of The Cornering Characteristics of Tyres on an Uneven Road surface : A Dynamic Version of The Nuero-Tyre,' Int.J.of Vehicle Design, Vol. 15, pp. 189-215
  16. Lin, C. T. and Lee, C. S. G., Neural Fuzzy System, Prentice Hall, 1996
  17. Ervin, R.D. et al., 1995, 'The Crewman's Associate for Path Control (CAPC),' Final Report for TACOM Contract DAAE07-93-C-R124, The University of Michigan Transportation Research Institute
  18. Smith, D. E. and Starkey, J. M., 1995, 'Effects of Model Complexity on the Performance of Automated Vehicle Steering Controllers: Model Development , Validation and Comparison,' Vehicle System Dynamics, Vol. 24, pp. 163-181 https://doi.org/10.1080/00423119508969086