Investigation of Different Parameter Based Control Strategies for Active Independent Front Steering (AIFS) System 2021-01-0967

The previous research work on Active Independent Front Steering (AIFS) system concluded an enhanced vehicle response and tire adhesion utilization. Some research emphasizes the importance of Tire Work load (TWL) in the generation of maximum possible tire forces that ensures vehicle controllability and stability. In this study, a mathematical model is constructed to investigate the effect of TWL as a parameter on AIFS performance. Toward such a target, a new Fuzzy control strategy is developed based on TWL and vehicle yaw rate as control inputs for the AIFS controller. Unfortunately, the TWL is not a measurable parameter or even easy to be estimated. Consequently, another control strategy was implemented based on slip angle and vehicle yaw rate as inputs for the AIFS controller. Vehicle response while implementing these two control strategies was compared with both conventional Ackermann steering system and a previously developed PI control strategy for AIFS system based on vehicle yaw rate only. Moreover, a path following controller was selected and adapted for the evaluation of the vehicle response. The simulation scenario is executing two Double Lane Change (DLC) maneuvers decried by ISO 3888 as a guide. It was concluded that the Fuzzy-TWL and Fuzzy-Slip Angle based control strategies had a significant enhancement over other AIFS control strategies while executing DLC as it decreased the lateral deviation and improved the utilization of tire adhesion.