首页> 外文期刊>Journal of the Franklin Institute >A shared steering controller design based on steer-by-wire system considering human-machine goal consistency
【24h】

A shared steering controller design based on steer-by-wire system considering human-machine goal consistency

机译:考虑人机目标一致性的基于线控转向的共享转向控制器设计

获取原文
获取原文并翻译 | 示例
       

摘要

Shared control structure is beneficial to steering controller design of intelligence vehicles, and human-machine goal consistency is a key prerequisite for shared control. However, the goal consistency is usually given and cannot be changed, and the steering controller in low goal consistency, which directly affect the vehicle performance in case of emergency, has not been sufficiently investigated. This paper proposes a shared steering controller for path-following task based on Nash game strategy and steer-by-wire system considering different human-machine goal consistency. The driver-automation interactive path-following task is modeled by non-cooperative MPC, and authority weight of lateral displacement is used to balance the control objectives of the driver and automation. Human-machine goal consistency is determined by the driver and the automation controller steering angle. Aimed at different goal consistencies, a continuous authority weight adjustment algorithm is designed to ensure correct path following. This is especially true in low consistency in this study, when four driving modes are given to meet the different demand for control power. Simulations and hard-in-loop tests are conducted to verify the proposed control algorithm and the results show that it can perform the path-following task irrespective of human-machine goal consistency. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:共享控制结构有利于智能车辆转向控制器的设计,人机目标的一致性是共享控制的关键前提。但是,通常给出目标一致性并且不能改变,并且在紧急情况下直接影响车辆性能的低目标一致性的转向控制器还没有被充分研究。提出了一种基于纳什博弈策略和电控转向系统的路径跟踪任务共享转向控制器,该控制器考虑了不同的人机目标一致性。通过非合作的MPC对驾驶员-自动化交互路径跟随任务进行建模,并使用横向位移的权重来平衡驾驶员和自动化的控制目标。人机目标的一致性取决于驾驶员和自动化控制器的转向角。针对不同的目标一致性,设计了一种连续的权限权重调整算法,以确保正确的路径遵循。在本研究中,当给出四种驱动模式以满足不同的控制功率要求时,尤其如此。进行了仿真和硬环测试,验证了所提控制算法的有效性,结果表明该控制算法可以在不遵循人机目标一致性的情况下完成路径跟踪任务。 (C)2019富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

著录项

  • 来源
    《Journal of the Franklin Institute》 |2019年第8期|4397-4419|共23页
  • 作者单位

    China Univ Geosci Beijing, Sch Engn & Technol, Beijing 10083, Peoples R China;

    Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    Univ Cambridge, Dept Engn, Trumpington St, Cambridge CB2 1PZ, England;

    Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    China Univ Geosci Beijing, Sch Engn & Technol, Beijing 10083, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 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