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Considering Variable Road Geometry in Adaptive Vehicle Speed Control

机译:自适应车辆速度控制中考虑可变道路几何

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Adaptive vehicle speed control is critical for developing Advanced Driver Assistance Systems (ADAS). Vehicle speed control considering variable road geometry has become a hotspot in ADAS research. In this paper, first, an exploration of intrinsic relationship between vehicle operation and road geometry is made. Secondly, a collaborative vehicle coupling model, a road geometry model, and an AVSC, which can respond to variable road geometry in advance, are developed. Then, based onH∞control method and the minimum energy principle, a performance index is specified by a cost function for the proposed AVSC, which can explicitly consider variable road geometry in its optimization process. The proposed AVSC is designed by the Hamilton-Jacobi Inequality (HJI). Finally, simulations are carried out by combining the vehicle model with the road geometry model, in an aim of minimizing the performance index of the AVSC. Analyses of the simulation results indicate that the proposed AVSC can automatically and effectively regulate speed according to variable road geometry. It is believed that the proposed AVSC can be used to improve the economy, comfort, and safety effects of current ADAS.
机译:自适应车速控制对于开发高级驾驶员辅助系统(ADAS)至关重要。考虑可变道路几何形状的车速控制已成为ADAS研究的热点。在本文中,首先,探讨了车辆操作与道路几何形状之间的内在联系。其次,开发了可以提前响应可变道路几何形状的协作车辆耦合模型,道路几何形状模型和AVSC。然后,基于H∞控制方法和最小能量原理,通过成本函数为拟议的AVSC指定性能指标,该AVSC可以在优化过程中明确考虑可变的道路几何形状。拟议的AVSC由Hamilton-Jacobi不等式(HJI)设计。最后,通过将车辆模型与道路几何模型结合起来进行仿真,以使AVSC的性能指标最小。仿真结果分析表明,提出的AVSC能够根据可变的道路几何形状自动有效地调节速度。可以相信,拟议的AVSC可用于改善当前ADAS的经济性,舒适性和安全性。

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