Automotive Suspension Parameter Estimation Using Smart Wireless Sensor Technology

This thesis project demonstrates the feasibility of using a smart sensor system to estimate vehicle parameters. It includes the development of the smart sensor system and the method for which vehicle parameters are estimated using this system. The smart sensor system is a wireless computer controlled sensor array that can be easily installed onto a vehicle. Parameter estimation was accomplished using grey box code in Matlab System Identification Toolbox, a software package from Mathworks. Front and rear suspension damping rates and pitch inertia were estimated on the 2008 Cal Poly SAE Baja Car with good accuracy during testing.

Name thesis:degree_name

MS in Mechanical Engineering

Discipline thesis:degree_discipline

Mechanical Engineering

Year dc:date.available

2008

Author dc:creator

• Hoffman, Samuel Chase

Contributors dc:contributor

• John Ridgely

Identifier

10.15368/theses.2008.8

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-1019