首页> 外文学位 >Vehicle lateral control for driver assistance and automated driving.
【24h】

Vehicle lateral control for driver assistance and automated driving.

机译:车辆横向控制,用于驾驶员辅助和自动驾驶。

获取原文
获取原文并翻译 | 示例

摘要

In this dissertation, the issues on the lateral motion control of roadway vehicles are addressed for both the driver assistance and the automated driving systems.; The modeling of vehicle lateral motions is the fundamental aspect to be studied first. The two dominant motions for vehicle lateral control are the yaw and lateral motions. A two degree-of-freedom (DOF) model commonly used to describe these motions is called the bicycle model. However, experimental results for certain vehicles have shown some frequency characteristics that can not be explained by the bicycle model. A 3 DOF vehicle model, which incorporate the suspension roll dynamics, is developed and verified against the experimental data. The results attribute the discrepancy in the frequency characteristics to the vehicle suspensions, especially the roll dynamics. The fundamental coupling between the lateral, yaw, and roll dynamics is also addressed using the developed linear 3 DOF vehicle model.; A lateral guidance system is designed for driver assistance. A supplementary guidance display, which includes the road information, the current and future vehicle position, can provide the driver with the preview information. Two display laws for predicting the future position of the vehicle have been studied. The kinematic display law with simple formulation is applicable for low vehicle speeds, while the nonlinear gain-scheduled display law can be adopted to a wide range of vehicle speeds. With the assistance of the lateral guidance system, the driver may act as a simple proportional controller to safely steer the vehicle. The results of closed-loop simulation demonstrate the advantage of the guidance display. The human-in-the-loop steering simulator is used to further validate the effectiveness of the lateral guidance system for driver assistance.; There are two aspects being focused in the design of steering controllers for automated driving. In order to investigate the effect of suspension roll dynamics to the lateral motions, both the 3 DOF vehicle model and the bicycle model are utilized in the design of steering controllers. The μ-synthesis and H theory are applied to both vehicle models for a comparison study of robust steering controller design. The simulation results indicate the importance of the effect of roll dynamics to steering control, especially for vehicle with soft suspensions. On the other hand, the effectiveness of the look-ahead scheme for the steering controller design is also addressed in this dissertation. The look-ahead scheme can provide more degree of freedom in steering control comparing with the look-down sensing systems. The lateral dynamics is decoupled from the yaw and roll motions by the proposed look-ahead scheme. A velocity invariant steering controller is generated by using the decoupling control scheme while the vehicle is operated under different longitudinal speeds.
机译:本文主要针对驾驶员辅助和自动驾驶系统,解决了道路车辆横向运动控制的问题。车辆横向运动的建模是首先要研究的基本方面。车辆横向控制的两个主要运动是偏航和横向运动。通常用于描述这些运动的两个自由度(DOF)模型称为自行车模型。但是,某些车辆的实验结果显示了某些频率特性,自行车模型无法解释。开发了3自由度车辆模型,该模型结合了悬架侧倾动力学,并根据实验数据进行了验证。结果将频率特性的差异归因于车辆悬架,尤其是侧倾动力学。横向,偏航和侧倾动力学之间的基本耦合也可以通过开发的线性3自由度车辆模型来解决。横向引导系统设计用于驾驶员辅助。包括道路信息,当前和未来车辆位置的辅助导航显示可以为驾驶员提供预览信息。已经研究了两种用于预测车辆未来位置的显示定律。公式简单的运动学显示定律适用于低车速,而非线性增益预定的显示定律可适用于各种车速。在横向引导系统的辅助下,驾驶员可以充当简单的比例控制器来安全地操纵车辆。闭环仿真的结果证明了引导显示的优势。人体在环转向模拟器用于进一步验证横向引导系统对驾驶员辅助的有效性。自动驾驶转向控制器的设计有两个方面。为了研究悬架侧倾动力学对横向运动的影响,在转向控制器的设计中同时使用了3自由度车辆模型和自行车模型。将μ合成和 H 理论应用于两种车辆模型,以进行鲁棒转向控制器设计的比较研究。仿真结果表明,侧倾动力学对转向控制的重要性,特别是对于具有软悬架的车辆而言。另一方面,本文还讨论了转向控制器设计的前瞻方案的有效性。与后视传感系统相比,前视方案可以提供更大的转向控制自由度。通过所提出的超前方案将横向动力学与偏航和侧倾运动分离。当车辆以不同的纵向速度运行时,通过使用解耦控制方案生成速度不变的转向控制器。

著录项

  • 作者

    Feng, Kai-Ten.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号