Enhancement of Vehicle Dynamics Model Using Genetic Algorithm and Estimation Theory Hyundai Motor Company

Format:

Conference/Event

Author/Creator:

Park, Joonhong, author.

Conference Name:

SAE 2003 World Congress & Exhibition (2003-03-03 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2003

Summary:

A determination of the vehicle states and tire forces is critical to the stability of vehicle dynamic behavior and to designing automotive control systems. Researchers have studied estimation methods for the vehicle state vectors and tire forces. However, the accuracy of the estimation methods is closely related to the employed model. In this paper, tire lag dynamics is introduced in the model. Also application of estimation methods in order to improve the model accuracy is presented. The model is developed by using the global searching algorithm, a Genetic Algorithm, so that the model can be used in the nonlinear range. The extended Kalman filter and sliding mode observer theory are applied to estimate the vehicle state vectors and tire forces. The obtained results are compared with measurements and the outputs from the ADAMS full vehicle model. [15]

Notes:

Vendor supplied data

Publisher Number:

2003-01-1281

Access Restriction:

Restricted for use by site license