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Vehicle Lane Change Automation with Active Steering - Theoretical Studies and Numerical Investigations

机译:具有主动转向的车道改变自动化 - 理论研究和数值调查

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Lane change automation appears to be a fundamental problem of vehicle automated control, especially when the vehicle is driven at high speed. Selected relevant parts of the recent research project are reported in this paper, including literature review, the developed models and control systems, as well as crucial simulation results. In the project, two original models describing the dynamics of the controlled motion of the vehicle were used, verified during the road tests and in the laboratory environment. The first model - fully developed (multi-body, 3D, nonlinear) - was used in simulations as a virtual plant to be controlled. The second model - a simplified reference model of the lateral dynamics of the vehicle (single-body, 2D, linearized) - formed the basis for theoretical analysis, including the synthesis of the algorithm for automatic control. That algorithm was based on the optimal control theory. The algorithm includes the determination of time optimal reference profiles defining control input and vehicle response (the reference steering wheel angle of the "bang-bang" type). Implementation of the prescribed motion trajectory in the control system is made using Kalman regulators ensuring optimal trajectory following in the terms of the linear-quadratic problem. Presented in the paper exemplary simulation results demonstrate the effects of variations of the road surface, vehicle speed, and vehicle loading condition. The results show the complexity of the dynamic properties of the vehicle under study and confirm the benefits of the adopted solutions for vehicle automated control.
机译:车道更换自动化似乎是车辆自动控制的根本问题,特别是当车辆以高速驱动时。本文报告了最近研究项目的选定相关部分,包括文献综述,开发的模型和控制系统,以及关键的模拟结果。在该项目中,使用了两个原创模型,描述了车辆受控运动的动态,在道路测试期间和实验室环境中验证。第一个模型 - 完全开发(多体,3D,非线性) - 被用于模拟作为待控制的虚拟工厂。第二模型 - 车辆横向动力学的简化参考模型(单体,2D,线性化) - 形成了理论分析的基础,包括用于自动控制算法的合成。该算法基于最佳控制理论。该算法包括确定定义控制输入和车辆响应的时间最佳参考轮廓(“BANG-BANG”类型的参考转向轮角度)。在控制系统中的规定运动轨迹的实施是使用Kalman Regulators进行的,确保在线性二次问题的术语下的最佳轨迹。介绍纸张示例性模拟结果证明了路面,车速和车辆负载条件的变化的影响。结果表明,正在研究的车辆动态性质的复杂性,并确认采用车辆自动化控制解决方案的益处。

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