Title page for ETD etd-05242007-201729


Type of Document Master's Thesis
Author Andersen, Erik
URN etd-05242007-201729
Title Multibody Dynamics Modeling and System Identification for a Quarter-Car Test Rig with McPherson Strut Suspension
Degree Master of Science
Department Mechanical Engineering
Advisory Committee
Advisor Name Title
Sandu, Corina Committee Chair
Kasarda, Mary E. F. Committee Member
Southward, Steve C. Committee Member
Keywords
  • McPherson Strut
  • System Identification
  • Quarter-Car
  • Multibody Dynamics
Date of Defense 2007-05-03
Availability unrestricted
Abstract
For controller design, design of experiments, and other dynamic simulation purposes there is a need to be able to predict the dynamic response and joint reaction forces of a quarter-car suspension. This need is addressed by this study through development and system identification of both a linear and a non-linear multibody dynamics McPherson strut quarter-car suspension model.

Both models are developed using a method customary to multibody dynamics so that the same numerical integrator can be used to compare their respective performances. This method involves using the Lagrange multiplier form of the constrained equations of motion to assemble a set of differential algebraic equations that characterize each model’s dynamic response. The response of these models to a band-limited random tire displacement time array is then simulated using a Hilber-Hughes-Taylor integrator.

The models are constructed to match the dynamic response of a state-of-the-art quarter-car test rig that was designed, constructed, and installed at the Institute for Advanced Learning and Research (IALR) for the Performance Engineering Research Lab (PERL). Attached to the experimental quarter-car rig was the front left McPherson strut suspension from a 2004 Porsche 996 Grand American Cup GS Class race car. This quarter-car rig facilitated acquisition of the experimental reference data to which the simulated data is compared.

After developing these models their optimal parameters are obtained by performing system identification. The performance of both models using their respective optimal parameters is presented and discussed in the context of the basic linearity of the experimental suspension.

Additionally, a method for estimating the loads applied to the experimental quarter-car rig bearings is developed. Finally, conclusions and recommendations for future research and applications are presented.

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