An AFS control based on fuzzy logic for vehicle yaw stability
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.
active front steering fuzzy logic vehicle yaw stability nonlinear vehicle model
Jian Ma Guoliang Liu Jiangfeng Wang
Dept.of Automobile Engineering Beihang University Beijing, PR China
国际会议
太原
英文
503-506
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）