0
TECHNICAL BRIEFS

Intelligent Feedback Linearization for Active Vehicle Suspension Control

[+] Author and Article Information
Gregory D. Buckner

Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695

Karl T. Schuetze

Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78759

Joe H. Beno

The University of Texas at Austin Center for Electromechanics, Austin, TX 78759

J. Dyn. Sys., Meas., Control 123(4), 727-733 (Jul 03, 2000) (7 pages) doi:10.1115/1.1408945 History: Received July 03, 2000
Copyright © 2001 by ASME
Your Session has timed out. Please sign back in to continue.

References

Beno, J. H., Bresie, D. A., Ingram, S. K., Weeks, D. A., and Weldon, Wm. F., 1995, “Electromechanical Suspension System,” Final Report to U. S. Army Tank and Automotive Command, Warren, MI, June.
Weeks, D. A., Beno, J. H., Guenin, A., and Bresie, D. A., 1999, “The Design of an Electromagnetic Linear Actuator for an Active suspension,” SP-1438, Steering and Suspension Technology Symposium 1999, SAE, Warren, MI.
Crosby, M., and Karnopp, D. C., 1973, “The Active Damper—A New Concept for Shock and Vibration Control,” Shock and Vibration Bulletin, Part H.
Hrovat,  D., 1997, “Survey of Advanced Suspension Developments and Related Optimal Control Applications,” Automatica 33, No. 10, pp. 1781–1817.
Kim, E. S., 1996, “Nonlinear Indirect Adaptive Control of a Quarter Car Active Suspension,” Proceedings of the 1996 IEEE International Conference on Control Applications, pp. 61–66.
Williams, D. E., and Haddad, W. M., “Active Suspension Control to Improve Vehicle Ride and Handling,” Vehicle System Dynamics 28 , No. 1, pp. 1–24.
Moran,  A., and Nagai,  M., 1994, “Optimal Active Control of Nonlinear Vehicle Suspensions Using Neural Networks,” JSME International Journal, Series C 37, No. 4, pp. 707–719.
Nagai,  M., Moran,  A., Tamura,  Y., and Koizumi,  S., 1997, “Identification and Control of Nonlinear Active Pneumatic Suspension for Railway Vehicles, Using Neural Networks,” Control Engineering Practice 5, No. 8, pp. 1137–1144.
Scheutze, K. T., Beno, J. H., Weldon, W. F., and Sreenivasan, S. V., 1998, “A Comparison of Controller Designs for an Active, Electromagnetic, Offroad Vehicle Suspension System Traveling at High Speed,” presented at the SAE International Congress and Exposition, Detroit, MI, Feb. 23–26.
Sunwoo, M., and Cheok, K. C., 1991, “Investigation of Adaptive Control Approaches for Vehicle Active Suspension Systems,” Proceedings of 1991 American Control Conference, Vol. 2, pp. 1542–1547.
Weeks, D. A., Beno, J. H., Bresie, D. A., and Guenin, A. M., 1997, “Control System for Single Wheel Station Tracked Vehicle Active Electromagnetic Suspension,” presented at SAE International Congress and Exposition, Detroit, MI, Feb.
Weeks, D. A., Beno, J. H., Bresie, D. A., and Guenin, A. M., 1997, “Laboratory Testing of Active Electromagnetic Near Constant Force Suspension (NCFS) Concept on Subscale Four Corner, Full Vehicle Test-Rig,” presented SAE International Congress and Exposition, Detroit, MI, February 24–27.
Ljung, L., 1991, “Issues in System Identification,” IEEE Control Syst. Mag., pp. 25–29.
Ljung, L. and Glad, T., 1994, Modeling of Dynamics Systems, Prentice Hall.
Åström, K. J., and Wittenmark, B., 1995, Adaptive Control, 2nd Ed., Addison Wesley.
G. C. Merriam Co., 1991, Webster’s New Collegiate Dictionary, G. C. Merriam Co.
Haykin, S., 1994, Neural Networks, A Comprehensive Foundation, Prentice Hall.
Cybenko, G., 1989, “Approximations by Superpositions of a Sigmoidal Functions,” Mathematics of Control Signal Systems 2 pp. 303–314.
Hornik,  J., Stinchcombe,  M., and White,  H., 1989, “Multilayer Feedforward Networks are Universal Approximators,” Neural Networks 2, pp. 359–366.
Baker, W. L., and Farrell, J. A., 1992, An Introduction to Connectionist Learning Control Systems, Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches, Van Nostrand Reinhold.
Slotine, J. J., and Li, W., 1991, Applied Nonlinear Control, Prentice Hall.
Brogan, W. L., 1991, Modern Control Theory, 3rd ed., Prentice Hall.
Bruzzone,  L., Roli,  F., and Serpico,  S. B., 1998, “Structured Neural Networks for Signal Classification,” Signal Process. 64, No. 3, pp. 271–290.
Bastow, D., and Howard, G. P., 1993, Car Suspension and Handling, 3rd Ed., Society of Automotive Engineers, Inc.
Wong, J. Y., 1993, Theory of Ground Vehicles, Wiley, New York, NY.
Buckner, G. D., and Schuetze, K. T., 1999, “Intelligent Estimation of System Parameters for Active Vehicle Suspension Control” SP-1438, Steering and Suspension Technology Symposium 1999, SAE, Warren, MI.
Buckner, G. D., Schuetze, K. T., and Beno, J., 2000, “Active Vehicle Suspension Control Using Intelligent Feedback Linearization,” American Control Conference, Chicago, IL, June.

Figures

Grahic Jump Location
Fourth-order quarter-car suspension model
Grahic Jump Location
Intelligent feedback linearization block diagram
Grahic Jump Location
RBFN structure for intelligent system identification
Grahic Jump Location
UT-CEM quarter-car test rig
Grahic Jump Location
Magnitude versus frequency diagram of the collected data
Grahic Jump Location
Swept sine wave input experimental results
Grahic Jump Location
Experimental stiffness identification results
Grahic Jump Location
Experimental damping identification results
Grahic Jump Location
Off-road terrain inputs for experimental control evaluations
Grahic Jump Location
EM actuator mounted on HMMW
Grahic Jump Location
Typical nonlinear suspension damping characteristics
Grahic Jump Location
The indirect adaptive intelligent control architecture
Grahic Jump Location
Sprung mass response baseline and intelligent FBL control
Grahic Jump Location
Sprung mass accelerations for passive HMMWV suspension (top) and active HMMWV suspension with IFL control (bottom)—0.04 m RMS terrain at 24.1 kph (15 mph)
Grahic Jump Location
Sprung mass accelerations for passive HMMWV suspension (top) and active HMMWV suspension with IFL control (bottom)—0.04 m RMS terrain at 40.2 kph (25 mph)

Tables

Errata

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In