Application of System Identification for Efficient Suspension Tuning in High-Performance Vehicles: Full-Car Model Study

Document Number: 2009-01-0433

Date Published: April 2009

Author(s):
Chris Boggs
Steve Southward - Virginia Tech
Mehdi Ahmadian - Virginia Tech

Abstract:
One popular complement to track testing that successful race teams use to better understand their vehicle's behavior is dynamic shaker rig testing, such as 7-post and 8-post testing. Compared to track testing, rig testing is more repeatable, costs less, and can be conducted around the clock. While rig testing certainly is an attractive option, an extensive number of tests may be required to find the best setup. To make better use of rig test time, more efficient testing methods are needed. One method to expedite rig testing is to use rig test data to perform system identification and generate a model of the experiment, which may then be applied to identify potential gains for further rig study.

This study develops a system identification method for use in rig testing, using data generated from a known physical model. The results show that this method can be used to accurately predict sensor response during an 8-post test for different shock selections. Future work will apply the model developed in this study to a car tested on an 8-post rig and to perform shock selection.

File Size: 1481K
Product Status: In Stock

Included in: V118-6

See other papers presented at SAE World Congress & Exhibition, April 2009, Detroit, MI, USA, Session: Vehicle Dynamics and Simulation (Part 1 of 4): Development and field testing, and vehicle dynamics modeling and simulation validation

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