Abstract
This paper presents a robust control method for stabilizing vehicle lateral motion of electric vehicle equipped with active front steering system. There are two main objectives, the first is to improve electric vehicle lateral handling performance by using a fuzzy logic technique for controlling the yaw rate, and the second is to solve the problems caused by the torque ripple affecting the mechanical transmission of the electric traction chain, by using a new sliding mode backstepping control which is based on direct torque control. In this proposed method, the control of the torque and flux, which is designed by the nonlinear backstepping control, replaces the hysteresis controllers in the conventional DTC. The sliding mode control which is used as speed controller. The simulation results show that the proposed fuzzy AFS control can stabilize electric vehicle lateral motion and enhance lateral handling performance. Simultaneously, the new sliding mode backstepping control can obviously reduce the torque ripple, and can provide better speed tracking performance.
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Norediene, A., Kada, H., Abdelkader, M. (2020). Advanced Lateral Control of Electric Vehicle Based on Fuzzy Front Steering System. In: Hatti, M. (eds) Smart Energy Empowerment in Smart and Resilient Cities. ICAIRES 2019. Lecture Notes in Networks and Systems, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-37207-1_27
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DOI: https://doi.org/10.1007/978-3-030-37207-1_27
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