An AFS control based on fuzzy logic for vehicle yaw stability

Author

Ma, Jian ; Liu, Guoliang ; Wang, Jiangfeng

Author_Institution

Dept. of Automobile Eng., Beihang Univ., Beijing, China

Volume

5

fYear

2010

fDate

22-24 Oct. 2010

Abstract

In this paper, an Active Front Steering controller is designed to improve vehicle yaw stability based on fuzzy logic. The yaw rate error and its rate of change are applied to the controller as inputs, where the steering angle correction of the front wheels is the output. The performance of the proposed control system has been verified using a nonlinear eight degrees of freedom nonlinear vehicle model, and the simulation results illustrate considerable improvements in vehicle yaw stability is achieved for several maneuvers, especially in the tire linear region.

Keywords

fuzzy control; nonlinear control systems; position control; road vehicles; stability; steering systems; AFS control; active front steering controller; control system; front wheels; fuzzy logic; maneuvers; nonlinear vehicle model; steering angle correction; tire linear region; vehicle yaw stability; yaw rate error; Computer languages; active front steering; fuzzy logic; nonlinear vehicle model; vehicle yaw stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5620150

Filename

5620150