Driver Assistance Fuzzy Control for Vehicle Lane Keeping Systems Based on Road Frequency Range

Wenfeng Li, Jing Zhao, Zhongchao Liang, P. Wong, Z. Xie, Yongfu Wang
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Abstract

This paper proposes a robust driver assistance fuzzy control method for vehicle lane keeping systems based on the road frequency range. First of all, taking the varying velocity, uncertain mass and time delay into account, a Takagi-Sugeno fuzzy model is constructed to approximate the global driver-vehicle-road system. Then, considering that the road curvature frequency usually belongs to a certain range, a finite frequency specification is employed to concern the fuzzy control problem of lane-keeping assistance systems. Moreover, based on the Lyapunov stability theory and the finite frequency specification, a set of sufficient conditions in the form of linear matrix inequalities are presented for the computation of desired controllers. Finally, the effectiveness of the proposed method is illustrated by simulations.
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基于道路频率范围的车辆车道保持系统驾驶员辅助模糊控制
提出了一种基于道路频率范围的车辆车道保持系统鲁棒驾驶员辅助模糊控制方法。首先,考虑速度的变化、质量的不确定和时滞的影响,建立了一个Takagi-Sugeno模糊模型来近似全局人-车-路系统。然后,考虑到道路曲率频率通常属于一定范围,采用有限频率规范来关注车道保持辅助系统的模糊控制问题。此外,基于李雅普诺夫稳定性理论和有限频率规范,以线性矩阵不等式形式给出了期望控制器计算的一组充分条件。最后,通过仿真验证了该方法的有效性。
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