A Frequency-Adaptive Multi-Objective Suspension Control Strategy

[+] Author and Article Information
Jianbo Lu

Research and Advanced Engineering, Ford Motor Company, Bldg 5, MD 5036, 20300 Rotunda Drive, Dearborn, MI 48124 e-mail: e-mail: jlu10@ford.com

J. Dyn. Sys., Meas., Control 126(3), 700-707 (Dec 03, 2004) (8 pages) doi:10.1115/1.1789979 History: Received October 29, 2002; Revised September 02, 2003; Online December 03, 2004
Copyright © 2004 by ASME
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Alleyne,  A., and Hedrick,  J. K., 1995, “Nonlinear Adaptive Control of Active Suspensions,” IEEE Trans. Control Syst. Technol., 3, pp. 94–101.
Alleyne,  A., and Liu,  R., 1999, “On the Limitations of Force Tracking Control of Hydraulic Servosystems,” ASME J. Dyn. Syst., Meas., Control, 121(2), pp. 184–190.
DeJager,  A. G., 1991, “Comparison of Two Methods for the Design of Active Suspension Systems,” Opt. Control Appl. Methods, 12, pp. 173–188.
Fialho,  D. I., and Balas,  G. J., 2002, “Road-Adaptive Active Suspension Design Using Linear-Parameter-Varying Gain-Scheduling,” IEEE Trans. Control Syst. Technol., 10, pp. 43–54.
Gahinet, P., Nemirovski, A., Laub, A. J., and Chilali, M., 1995, LMI Control Toolbox for Use with Matlab. The Mathworks Inc., Natick, MA.
Hrovat,  D., 1990, “Optimal Active Suspension Structures for Quarter-Car Vehicle Models,” Automatica, 26, pp. 845–860.
Hrovat,  D., 1982, “A Class of Active LQG Optimal Actuators,” Automatica, 18, pp. 117–119.
Hrovat,  D., 1997, “Survey of Advanced Suspension Developments and Related Optimal Control Applications,” Automatica, 33, pp. 1781–1816.
Karnopp,  D., Crosby,  M. J., and Harwood,  R. A., 1974, “Vibration Control Using Semi-Active Force Generators,” J. Eng. Ind., 96, pp. 619–626.
Lu,  J., and DePoyster,  M., 2002, “Multi-Objective Optimal Suspension Control to Achieve Integrated Ride and Handling Performance,” IEEE Trans. Control Syst. Technol., 10, pp. 807–821.
Sharp,  R. S., and Crolla,  D. A., 1987, “Road Vehicle Suspension System Design—a Review,” Veh. Syst. Dyn., 16, pp. 167–192.
Skelton, R. E., Iwasaki, T., and Grigoriadis, K., 1997, A Unified Algebraic Approach to Control Design, Taylor and Francis, London.
Smith,  M. C., 1995, “Achievable Dynamic Response for Automotive Active Suspensions,” Veh. Syst. Dyn., pp. 1–34.
Yue,  C., Butsuen,  T., and Hedrick,  J. K., 1989, “Alternative Control Laws for Automotive Active Suspensions,” ASME J. Dyn. Syst., Meas., Control, 111, pp. 286–291.


Grahic Jump Location
A quarter car vehicle model
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Comparison between the actual (thin line) and estimated (thick line) road profile velocity w⁁̇
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The frequency-dependent scalings for FAMOS
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Frequency responses. Dotted line: passive; solid line: controlled. Top-left 2 for BRP control; top-right 2 for WFP control; bottom-left 2 for balanced control; bottom-right 2 for FAMOS control.
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Top: the magnitude-varied chirp signal with frequency from 0 to 12.5 Hz. Bottom: the corresponding time responses of the suspension control force using FAMOS.
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Time responses with respect to magnitude-varied chirp road profile. Dotted line: passive. Solid line: FAMOS.



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