الفهرس 
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Abstract
Abstract
Vehicle stabilityis crucial for both vehicle and overall road safety prospects. Therefore, some research workfocused on steering improvement like Active Front Steering (AFS). Furthermore,the idea ofActive Independent Front Steering (AIFS) system which controls the angle of each front wheel individually was studied in some research work.In this current study, the performance of the vehicle with different AIFS control strategies was evaluated. For this purpose, a 3 Degree of Freedom 3-DOF (longitudinal, lateral and yaw) vehicle model had been built on Simulink environment with especially derived Magic Formula tire model. Moreover,different AIFS control strategies were developed and evaluated. The first strategy was a PI controller that corrects the steering angle for each front wheel individually based on yaw rate. The second control strategy was proposed to add a Fuzzy controller that controls the steering angle based on Tire Work Load (TWL) in collaboration with the previously mentioned PI controller. Furthermore, a newly developed Fuzzy controller was designed to control the independent front steering angles based on TWL in addition to yaw rate. To tackle the measurability issue of TWL, a Fuzzy controller that controls the steering angle based on yaw rate and slip angle estimation is developed.Evaluation of the implemented AIFS control strategies,constant radius maneuverhad been simulated.Furthermore, in order to test the performance of a more interactive performance on a more interactive situation, a path-following controller was bult to control the input steering on the two parts of ISO 3888-Double Lane Change (DLC) standard maneuvers.Simulation results concluded that AIFS control strategies have a significant improvement on vehicle handling performance with all simulated maneuvers. Moreover, the strategies these considered TWL or slip angle as inputs to the AIFS controller had a better performance through the contribution of utilized tire forces.