Abstract
The ride dynamics of road vehicles is concerned with the control of whole-body vibration, to provide comfort and vibration isolation for occupants and transported goods. Ride isolation from road unevenness is conventionally achieved through the pneumatic tire, coupled with a spring and damper in the suspension; however substantial benefits can be derived from active computer control of the suspension system. Active ride control also benefits from on-line adaptation, and similar advantage can be derived via nonlinear feedback control. This paper reviews the fundamental issues and considers the potential for future vehicles, against a background of increasing total system complexity and interaction, as well as the continuing need for robust, safe, and fault-tolerant operation. Consideration is also given to the use of “intelligent” control systems that adapt and learn in real-time on the vehicle.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Best, M. C. 1995. On the modelling requirements for the practical implementation of advanced vehicle suspension control, Ph.D. Thesis, Loughborough University.
Thompson, A. G. 1970. Design of active suspensions. Proceedings of the Institution of Mechanical Engineers (Part I) 185, 553–563.
Thompson, A. G. 1976. Active suspensions with optimal linear state feedback. Vehicle System Dynamics 5, 187–203.
Hac, A. 1992. Optimal linear preview control of active vehicle suspension. Vehicle System Dynamics 21, 167–195.
Yamashita, M., K. Fujimori, C. Uhlik, R. Kawatani, and H. Kimura. 1990. H∞ control of an automotive active suspension. Proceedings of the 29th Conference on Decision and Control, 2244–2250.
Hedrik, J. K., and T. Butsuen. 1988. Invariant properties of automotive suspensions. Proceedings of the Institution of Mechanical Engineers International Conference on Advanced Suspensions, London.
Margolis, D. L. 1982. Semi-active heave and pitch control for ground vehicles. Vehicle System Dynamics 11, 31–42.
Fairgrieve, A., and T. J. Gordon. 2000. On-line estimation of local road gradient for improved steady-state suspension deflection control. Vehicle System Dynamics 33 (Supplement—Dynamics of Vehicles on Roads and Tracks), 590–603.
ElBeheiry, E. M., and D. C. Karnopp. 1996. Optimal control of vehicle random vibration with constrained suspension deflection. Journal of Sound and Vibration 189, 547–564.
Gordon, T. J., C. Marsh, and Q. H. Wu. 1993. Stochastic optimal control of active vehicle suspensions using learning automata. Proceedings of the Institution of Mechanical Engineers—Part I (Journal of Systems and Control Engineering) 207, 143–152.
Marsh, C., T. J. Gordon, and Q. H. Wu. 1995. The application of learning automata to controllerdesign in slow-active automotive suspensions. Vehicle System Dynamics 24, 597–616.
Frost, G. P., T. J. Gordon, M. N. Howell, and Q. H. Wu. 1996. Moderated reinforcement learning of active and semi-active vehicle suspension control laws. Proceedings of the Institution of Mechanical Engineers—Part I (Journal of Systems and Control Engineering) 210, 249–257.
Howell, M. N., G. P. Frost, T. J. Gordon, and Q. H. Wu. 1997. Continuous action reinforcement learning applied to vehicle suspension control. Mechatronics 7, 263–276.
Ono, E., S. Hosoe, H. D. Tuan, and Y. Hayashi. 1996. Nonlinear H∞ control of active suspension. Vehicle System Dynamics 25 (Supplement—Dynamics of Vehicles on Roads and Tracks), 489–401.
Gordon, T. J., and R. S. Sharp. 1998. On improving the performance of automotive semi-active suspension systems through road preview. Journal of Sound and Vibration 217, 163–182.
Gordon, T. J., C. Marsh, and M. G. Milsted. 1991. A comparison of adaptive LQG and nonlinear controllers for vehicle suspension systems. Vehicle System Dynamics 20, 321–340.
Gordon, T. J., and M. C. Best. 1994. Dynamic optimization of nonlinear semiactive suspension controllers. Proceedings of the Institution of Electrical Engineers (IEE) 1994 International Conference “Control 94” (IEE Publication no. 389), Warwick, U.K., 332–337.
Sharp, R. S., and D. A. Wilson. 1990. On control laws for vehicle suspensions accounting for input correlations. Vehicle System Dynamics 19, 353–363.
Louam, N., D. A. Wilson, and R. S. Sharp. Optimization and performance enhancement of active suspensions for automobiles under preview of the road. Vehicle System Dynamics 21, 39–63.
Gordon, T. J. 1995. An integrated strategy for the control of complex mechanical systems based on sub-system optimality criteria. Proceedings of the IUTAM Symposium on Optimization of Mechanical Systems (Stuttgart, 1995) (D. Bestle and W. Schiehlen, eds.). Dordrecht: Kluwer, 97–104.
Gordon, T. J. 1996. An integrated strategy for the control of a full vehicle active suspension system. Vehicle System Dynamics 25 (Supplement—Dynamics of Vehicles on Roads and Tracks), 229–242.
Frost, G. P., M. N. Howell, T. J. Gordon, and Q. H. Wu. 1996. Dynamic vehicle roll control using reinforcement learning. Proceedings of the 1996 United Kingdom Automatic Control Council International Conference on CONTROL 96 (Exeter, U.K.), 1107–1118.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Kluwer Academic Publishers
About this paper
Cite this paper
Gordon, T.J. (2001). Adaptive, Nonlinear, and Learning Techniques for the Control of Vehicle Ride Dynamics. In: Aref, H., Phillips, J.W. (eds) Mechanics for a New Mellennium. Springer, Dordrecht. https://doi.org/10.1007/0-306-46956-1_20
Download citation
DOI: https://doi.org/10.1007/0-306-46956-1_20
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-7156-4
Online ISBN: 978-0-306-46956-5
eBook Packages: Springer Book Archive