DOI QR코드

DOI QR Code

Real-Time Vehicle Mass Estimator for Active Rollover Prevention Systems

차량 전복 방지 장치를 위한 실시간 차량 질량 추정 시스템

  • 한광진 (한양대학교 자동차공학과) ;
  • 김인근 (한양대학교 자동차공학과) ;
  • 김승기 (한양대학교 자동차공학과) ;
  • 허건수 (한양대학교 미래자동차공학과)
  • Received : 2012.01.03
  • Accepted : 2012.04.10
  • Published : 2012.06.01

Abstract

Vehicle rollover is a serious kind of accident, particularly for sport utility vehicles, and its occurrence can be minimized by utilizing active rollover prevention systems. The performance of these protection systems is very sensitive to vehicle inertial parameters such as the vehicle's mass and center of mass. These parameters vary with the number of passengers and in different load situations. In this paper, a unified method for vehicle mass estimation is proposed that takes into account the available driving conditions. Three estimation algorithms are developed based on longitudinal, lateral, and vertical vehicle motion, respectively. Then, the three algorithms are combined to extract information on the vehicle's mass during arbitrary vehicle maneuvering. The performance of the proposed vehicle mass estimation method is demonstrated through real-time experiments.

차량의 롤오버는 심각한 사고중의 하나로 SUV 에 있어서 더욱 위험하나 롤오버 방지시스템을 통하여 발생을 최소화 시킬 수 있다. 하지만 이러한 방지 시스템의 성능은 승객 수나 다른 하중 조건에 따라 변하는 차의 질량이나 무게중심 같은 차량 관성 파라미터에 매우 민감하다. 본 논문에서는 이러한 문제점을 개선하기 위하여 종 방향, 횡 방향, 수직 방향 동역학을 기반으로 한 세 가지 질량 추정 알고리즘을 개발하고 이 세 가지 알고리즘들을 통합하여 임의의 주행 상황에서 실시간 연산을 통해 차량의 질량을 추정할 수 있는 통합 차량 질량 추정 방법을 제안하였다. 또한 실시간 시뮬레이션과 실험을 통하여 이 방법의 성능을 검증하였다.

Keywords

References

  1. Trent, V. and Greene, M., 2002, "A Genetic Predictor for Vehicular Rollover," Proc. of the 28th Annual Conf. of the IEEE Industrial Electronics Society, pp. 1752-1756.
  2. Hac, A., 2002, "Rollover Stability Index Including Effects of Suspension Design," 2002 SAE World Congress, 2002-01-0965, Detroit, MI.
  3. Allen, R. W., Klyde, D. H., Rosenthal, T. J. and Smith, D. M., 2003, "Estimation of Passenger Vehicle Inertial Properties and Their Effect on Stability and Handling," 2003 SAE World Congress, 2003-01-0966, Detroit, MI.
  4. Roh, J. H., Lee, K.W., Lee, J.I., Oh, S.K., Kim, H.S. and Jang, J.H., 2009, "Development of HIL simulator for the sensitivity analysis of factors influencing ESC performance," ICROS-SICE International joint Conference 2009, August 18-21, 2009, Japan.
  5. Yi, K.S., Yoon, J.Y. and Kim, D.S., 2007, "Modelbased Estimation of vehicle Roll State for Detection of Impending Vehicle Rollover," Proceedings of the 2007 American Control Conference, July 11-13, 2007, USA.
  6. Germann, St. and Isermann, R., 1994, "Modelling and control of longitudinal vehicle motion," Proc. of the American Control Conference.
  7. Druzhinina, M., Stefanopoulou, A. and Mollegaard, L., 2002, "Adaptive Continuously Variable Compression Braking Control for heavy-Duty Vehicles," ASME J. of Dynamic Systems, Measurement, and Control, Vol. 124, pp. 406-414. https://doi.org/10.1115/1.1486010
  8. Bae, H. S., Ryu, J. and Gerdes, J. C., 2001, "Road Grade and Vehicle Parameter Estimation for Longitudinal Control Using GPS," Proc. of the IEEE Conf. on Intelligent Transportation Systems, pp. 166-171.
  9. Vahidi, A., Stefanopoulou, Peng, H., 2003, "Experiments for Online Estimation of Heavy Vehicle's Mass and Time-Varying Road Grade," Proc. of the International Mechanical Engineering Congress & Exposition.
  10. Best, M. C. and Timothy, J. G., 2000, "Combined State and Parameter Estimation of Vehicle Handling Dynamics," Proc. of AVEC 2000: the 5th International Symposium on Advanced Vehicle Control.
  11. Wenzel, T. A., Burnham, K. J., Blundell, M. V. and Williams, R. A., 2004, "Approach to Vehicle State and Parameter Estimation Using Extended Kalman Filtering," Proc. of AVEC'04: The 7th International Symposium on Advanced Vehicle Control, pp. 725-730.
  12. Rajamani, R. and Hedrick, J. K., 1995, "Adaptive Observers for Active Automotive Suspensions: Theory and Experiment," IEEE Trans. on Control Systems Technology, Vol. 3, No. 1, pp. 86-93. https://doi.org/10.1109/87.370713
  13. Kwon, S. and Chung, W. K., 2003, "A Discrete-Time Design and Analysis of Perturbation Observer for Motion Control Applications," IEEE Trans. on Control Systems Technology, Vol. 11, No. 3, pp. 399-407. https://doi.org/10.1109/TCST.2003.810398
  14. Gillespie, T. D., 1992, Fundamentals of vehicle dynamics, SAE.
  15. Grewal, M. S. and Andrews, A. P., 1993, Kalman Filtering: Theory and Practice, Prentice-Hall, Inc.
  16. Astrom, K. J. and Wittenmark, B., 1995, Adaptive Control, 2nd Ed., Addison-Wesley Publishing Company, Inc.
  17. Ikenaga, S., Lewis, F. L., Campos, J. and Davis, L., 2000, "Active Suspension Control of Ground Vehicle Based on a Full-Vehicle Model," Proc. of the American Control Conference, pp. 4019-4024.