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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
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References

Figures

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EM actuator mounted on HMMW
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Typical nonlinear suspension damping characteristics
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The indirect adaptive intelligent control architecture
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Fourth-order quarter-car suspension model
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Intelligent feedback linearization block diagram
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RBFN structure for intelligent system identification
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UT-CEM quarter-car test rig
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Magnitude versus frequency diagram of the collected data
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Swept sine wave input experimental results
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Experimental stiffness identification results
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Experimental damping identification results
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Off-road terrain inputs for experimental control evaluations
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Sprung mass response baseline and intelligent FBL control
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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)
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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)

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