Modelling and simulation of an active front steering system using Lagrangian dynamics
by Deling Chen, Chengliang Yin, Jianwu Zhang
International Journal of Vehicle Autonomous Systems (IJVAS), Vol. 6, No. 3/4, 2008

Abstract: Modelling and simulation provide effective methods for analysing the dynamic characteristics of an Active Front Steering (AFS) system. However, most of the existing research on AFS fails to address the detailed dynamic behaviour of the system. In this paper, a mathematical model of our developed double-motor AFS system has been built using Lagrangian dynamics. The model was further simulated using MATLAB and validated in field test. The results indicate that the model is capable of satisfactorily representing the dynamic responses of the developed AFS system. This work contributes to further understanding and control of the AFS system.

Online publication date: Mon, 02-Mar-2009

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