| For the purpose of studying vehicle stability and suspension performance, road profiles are an essential element that should be considered. Various methods have been developed to measure the road surface. This thesis aims to develop a fast, computationally efficient, and economical method to obtain road profile data only using accelerometers. Two sensors are mounted on a vehicle to measure both wheel and body accelerations in the vertical direction. This approach is based on a dynamic model with an output tracking feedback control. Virtual models are built in both MATLABRTM and Altair MotionViewRTM. Four randomly generated ISO class road profiles and one measured road profile are used in this research. Simulation results obtained from the models show that this method has great potential, and can usually recover road inputs with high accuracy using both linear and non-linear properties. |
