Active front steering control strategy based on estimation of vehicle state and mass identification
by Changqing Jing; Hongyu Shu; Yitong Song; Tong Wu
International Journal of Vehicle Noise and Vibration (IJVNV), Vol. 17, No. 3/4, 2021

Abstract: This paper mainly focuses on the application and feasibility of the active front steering controller. The desired yaw rate is a key input of AFS controller, but the desired yaw rate needs to be calculated by the two degrees of freedom vehicle model when the actual mass of the vehicle changes, when the mass of the reference model does not change, this will have a great influence on the AFS controller. Furthermore, the vehicle state and vehicle mass are difficult to measure in real-time. To solve these problems, the AFS control strategy based on estimation of vehicle state and mass identification is proposed. The simulation results demonstrate that the AFS controller based on vehicle state estimation and mass identification could effectively improve the vehicle lateral stability when the vehicle mass changes.

Online publication date: Mon, 20-Jun-2022

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