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.