Math models of wheeled ground vehicle dynamics, including flexible body effects, have been the subject of research and development for many years. These models are typically based on a finite system of simultaneous ordinary differential equations (e.g., state-space models). Higher order models that include flexible body effects offer improved accuracy over a wider frequency range than lower order rigid body models; however, higher order models are typically more sensitive to uncertainties in the model parameters and have increased computational requirements. Lower order models with the desired accuracy may be achieved by model reduction of higher order models. A new more general infinite dimensional Laplace transfer function is derived for beam bending governed by a fourth order wave equation. The resulting infinite dimensional transfer functions for beam bending are then used to develop a transfer function model of a “half-car” with a flexible body. The infinite dimensional transfer function of the half-car model is then used to assess the accuracy of the state-space models. Differences between the models due to model reduction are compared to theoretical upper bounds.
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November 2012
Research-Article
Development and Comparison of Laplace Domain and State-Space Models of a Half-Car With Flexible Body (ESDA2010–24518)
R. Michael Van Auken
R. Michael Van Auken
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R. Michael Van Auken
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received July 24, 2010; final manuscript received October 26, 2011; published online September 24, 2012. Assoc. Editor: Douglas Adams.
J. Dyn. Sys., Meas., Control. Nov 2012, 134(6): 061013 (12 pages)
Published Online: September 24, 2012
Article history
Received:
July 24, 2010
Revision Received:
October 26, 2011
Citation
Michael Van Auken, R. (September 24, 2012). "Development and Comparison of Laplace Domain and State-Space Models of a Half-Car With Flexible Body (ESDA2010–24518)." ASME. J. Dyn. Sys., Meas., Control. November 2012; 134(6): 061013. https://doi.org/10.1115/1.4005501
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