Abstract
This paper presents a method of simultaneous estimation of tire pressure and tire-road friction. A sliding-mode scheme is designed to identify the system state and the parameter variation of a torsional tire system, which greatly depend on the change in tire pressure. Then, the recursive least-squares method with a forgetting facto is used to estimate the parameter variations of the tire system and the tire-road friction force without a friction model using the information retrieved from the equivalent input for sliding motion. A simulation study is performed to illustrate the effectiveness of the proposed method.
Similar content being viewed by others
References
Alvarez, L., Yi, J., Horowitz, R. and Olmos, L. (2005). Dynamic friction model-based tire-road friction estimation and emergency braking control. J. Dynamic Systems, Measurement and Control 127,1, 22–32.
Bai, M. R., Jeng, J. and Chen, C. (2002). Adaptive order tracking technique using recursive least-squares algorithm. J. Vibration and Acoustics 124,4, 502–511.
Carlson, C. R. and Gerdes, J. C. (2005). Consistent nonlinear estimation of longitudinal tire stiffness and effective radius. IEEE Trans. Control System Technology 13,6, 1010–1020.
Edwards, C. and Spurgeon, S. K. (1998). Sliding Mode Control: Theory and Applications. Taylor and Francis. London.
Gustafsson, F. (1997). Slip- based tire-road friction estimation. Automatica 33,6, 1087–1099.
Han, S. I., Lee, K. S., Cho, Y. H., Choi, H. R. and Koo, K. W. (2009). Design of ABS controller using backstepping control with tire friction observer and RNN. Proc. CICS 2009, 371–372.
Kwon, S. and Chung, W. K. (2002). A robust tracking controller design with hierarchical perturbation compensation. J. Dynamic Systems, Measurement and Control 124,2, 261–271.
Ono, E., Asano, K., Sugai, M., Ito, S., Yamamoto, M., Sawada, M. and Yasui, Y. (2003). Estimation of automotive tire force characteristics using wheel velocity. Control Engineering Practice, 11, 1361–1370.
Persson, N., Gustafsson, F. and Drevö, M. (2002). Indirect tire pressure monitoring using sensor fusion. SAE Paper No. 2002-01-1250.
Shraim, H., Rabhi, A., Ouladsine, M., M’sirdi, N. K. and Fridman, L. (2006). Estimation and analysis of the tire pressure effects on the comportment of the vehicle center of gravity. Proc. 2006 Int. Workshop on Variable Structure Systems, 268–273.
Tan, C. P. and Edwards, C. (2001). An LMI approach for sliding mode observers. Int. J. Control 74,16, 1559–1568.
Tan, C. P. and Edwards, C. (2003). Sliding mode observers for robust detection and reconstruction of actuator and sensor faults. Int. J. Robust and Nonlinear Control 13,5, 443–463.
Tanelli, M., Piroddi, L. and Savaresi, S. M. (2009). Real time identification of tire-road friction conditions. IET Control Theory Application 3,7, 891–906.
Umeno, T., Asano, K., Ohashi, H., Yonetani, M., Naitou, T. and Taguchi, T. (2001). Observer based estimation of parameter variations and its application to tyre pressure diagnosis. Control Engineering Practice, 9, 639–645.
Umeno, T., Ono, E., Asano, K., Tanaka, A., Ito, S., Yasui, Y. and Sawada, M. (2002). Estimation of tire-road friction using tire vibration model. SAE Paper No. 2002-01-1183.
Veluvolu, K. C. and Soh, Y. C. (2009). High-gain observers with sliding mode for state and unknown input estimations. IEEE Trans. Industrial Electronics 56,9, 3386–3393.
Zhang, Q., Liu, B. and Liu, G. (2009). Design of tire pressure monitoring system based on resonance frequency method. Proc. 2009 IEEE/ASME Int. Conf. Advanced Intelligent Mechatronics, 781–785.
Ray, L. (1995). Nonlinear state and tire force estimation for advanced vehicle control. IEEE Trans. Control System Technology 3,1, 117–124.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lee, D.J., Park, Y.S. Sliding-mode-based parameter identification with application to tire pressure and tire-road friction. Int.J Automot. Technol. 12, 571–577 (2011). https://doi.org/10.1007/s12239-011-0067-z
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12239-011-0067-z