Lateral Control of Autonomous Vehicle by Yaw Rate Feedback

  • Yoo, Wan-Suk (School of Mechanical Engineering, Pusan National University) ;
  • Park, Ju-Yong (Department of Mechanical and Intelligent Systems Engineering, Pusan National University) ;
  • Hong, Seong-Jae (Department of Mechanical and Intelligent Systems Engineering, Pusan National University) ;
  • Park, Kyoung-Taik (School of Mechanical Engineering, Pusan National University) ;
  • Lee, Man-Hyung (School of Mechanical Engineering, Pusan National University)
  • 발행 : 2002.03.01

초록

In the autonomous vehicle, the reference lane is continually detected by machine vision system. And then the vehicle is steered to follow the reference yaw rates which are generated by the deviations of lateral distance and the yaw angle between a vehicle and the reference lane. To cope with the steering delay and the side-slip of vehicle, PI controller is introduced by yaw rate feedback and tuned from the simulation where the vehicle is modeled as 2 DOF and 79 DOF and verified by the results of an actual vehicle test. The lateral control algorithm by yaw rate feedback has good performances of lane tracking and passenger comfort.

키워드

참고문헌

  1. Lee, B. H., et al, 2001, 'Inverse Dynamic Analysis of Flexible Multibody Systems with Closed-Loops,' KSME Int. J., Vol. 15, No. 6, pp. 693-698
  2. Han, D. H. et al, 2000, 'Development and Comparative Study on Tire Models in AutoDyn7 Program,' KSME Int. J., Vol. 14, No. 7, pp. 730-736 https://doi.org/10.1007/BF03184458
  3. DADS (Dynamic Analysis of Design System) User's Manual, Computer Aided Design Software Incorporated, Iowa, U. S. A.
  4. Edward J. Haug, 1989, Computer-Aided Kinematics and Dynamics of Mechnical Dynamics: Basic Methods, Allyn and Bacon, Vol. 1
  5. Hannu Makela and Thomas von Numers, 2001, 'Development of a Naviagation and Control System for an Autonomous Outdoor Vehicle in a Steel Plant,' Control Engineering Practice, No. 9, pp. 573-583 https://doi.org/10.1016/S0967-0661(01)00014-4
  6. Ackermann, J. and Darenberg, W., 1990, 'Automatic Track Control of a City Bus,' IFAC Theory Report on Benchmark Problems for Control Systems Design
  7. Ackermann, J., Guldner, J. and Utkin, V. I., 1994, 'A Robust Nonlinear Control Approach to Automatic Path Tracking of a Car,' International Conference on Control '94, Vol. 1, pp. 196-201
  8. Ackermann, J., Guldner, J., Sienel, W., Steinhauser, R. and Utkin, V. I., 1995, 'Linear and Nonlinear Controller Design for Robust Automatic Steering,' IEEE Transactions on Control Systems Technology, Vol. 3, No. 1, pp. 132-143 https://doi.org/10.1109/87.370719
  9. Hedrick, J. K., et al, 1994, 'Control Issues in Automated Highway Systems,' IEEE Control Systems, Vol. 14, pp. 21-32 https://doi.org/10.1109/37.334412
  10. Ackermann, J., 1997, 'Robust Control Prevents Car Skidding,' IEEE Control Systems Magazine, Vol. 17, Issue. 3, pp. 23-31 https://doi.org/10.1109/37.588073
  11. Han, K. B., Kim, H. Y. and Kim, C. W., 2001, 'Corridor Navigation of the Mobile Robot Using Image Based Control,' KSME Int. J., Vol. 15, No. 8, pp. 1097-1107
  12. Yi, K. Lee, Sejin and Lee, Kyo-Il 2001, 'Estimation of Vehicle Driving-Load with Application to Vehicle Intelligent Cruise Control,' KSME Int. J., Vol. 15, No. 6, pp. 720-726
  13. Yanagiya, M., Tomita, K. and Tsugawa, S., 1999, 'Effects of Field of View on Lateral Control Performance in a Vision-Based Autonomous Vehicle,' JSAE Review 20, pp. 499-504 https://doi.org/10.1016/S0389-4304(99)00039-9
  14. Ohnuma, A., and Metz, L. D., 1989, 'Controllability and Stability Aspects of Actively Controlled 4WS Vehicles,' SAE paper 891977
  15. Tsugawa, S., 1994, 'Visio-Based Vehicles in Japan: Machine Vision Systems and Driving Control Systems,' IEEE Transactions on Industrial Electronics, Vol. 41, No. 4, pp. 398-405 https://doi.org/10.1109/41.303790
  16. Tsugawa, S., 1999, 'An Overview on Control Algorithms for Automated Highway Systems,' IEEE/IEEJ/JSAI International Conference. pp. 234-239 https://doi.org/10.1109/ITSC.1999.821060