Fuzzy logic applied to Active Front Steering system for Vehicle yaw Stability control  Fulltext 

[ Ali Ghaffari ] - Associate professor, Department of Mechanical Engineering K. N. Toosi Univ. of Technology, Tehran, Iran
[ Reza Kazemi ] - Assistant professor, Department of Mechanical Engineering K. N. Toosi Univ. of Technology, Tehran, Iran
[ Javad Ahmadi ] - Graduate student, Department of Mechanical Engineering K. N. Toosi Univ. of Technology, Tehran, Iran

خلاصه مقاله:

This paper examines the usefulness of an active front steer system (AFS) which uses added front steer angle for steering intervention in the context of Intelligent Transportation Systems. The resulting moment on the vehicle affects yaw and lateral velocity, there by increasing the steering function. The steering function achieved through AFS is used to control the handling states in severe maneuvers. Because the yaw and lateral characteristics are highly nonlinear, a Fuzzy logic inference system is developed to explore AFS feasibility and capability. Computer simulation results, using nonlinear seven degree of freedom vehicle model are included, and show the remarkable enhancements of the AFS vehicle.

active steering, fuzzy logic, vehicle stability