Steering Rate Controller based on Curvature of Trajectory for Autonomous Driving Vehicles

被引:0
|
作者
Bae, Il [1 ]
Kim, Jin Hyo [1 ]
Kim, Shiho [1 ]
机构
[1] Yonsei Univ, Sch Integrated Technol, Seoul 120749, South Korea
来源
2013 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2013年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We propose a steering control method for an autonomous vehicle by controlling the steering rate instead of the steering angle and describe a method for extracting the steering rate from the reference path using the relationship with curvature and slip angle. The proposed steering control method can be used not only for planning steering control input from the desired trajectories at the planning stage but also for the instantaneous planning of a driving path during vehicle motion. From the desired trajectory plotted in a two-dimensional XY coordinate system, the steering rate is extracted from the reference path, as a function of x. The extracted steering rate functions as the control input to the vehicle's controller for changing the front wheel's angle. MATLAB simulations of a double-lane-change maneuver were conducted for two scenarios, i.e., when the desired trajectory is given and when the driving path is planned instantaneously. For the double-lane-change maneuver, the curvature and the steering rate input to the controller are extracted from the virtually generated instantaneous reference path. The robustness of the proposed model and method are verified by re-constructing the trajectory traveled when the calculated steering rate is input into the controller.
引用
收藏
页码:1375 / 1380
页数:6
相关论文
共 50 条
  • [41] An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments
    Xiong, Lu
    Fu, Zhiqiang
    Zeng, Dequan
    Leng, Bo
    SENSORS, 2021, 21 (13)
  • [42] Design, implementation, and test of skid steering-based autonomous driving controller for a robotic vehicle with articulated suspension
    Juyong Kang
    Wongun Kim
    Jongseok Lee
    Kyongsu Yi
    Journal of Mechanical Science and Technology, 2010, 24 : 793 - 800
  • [43] Design, implementation, and test of skid steering-based autonomous driving controller for a robotic vehicle with articulated suspension
    Kang, Juyong
    Kim, Wongun
    Lee, Jongseok
    Yi, Kyongsu
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2010, 24 (03) : 793 - 800
  • [44] End-to-End Steering Controller with CNN-based Closed-loop Feedback for Autonomous Vehicles
    Jhung, Junekyo
    Bae, Il
    Moon, Jaeyoung
    Kim, Taewoo
    Kim, Jincheol
    Kim, Shiho
    2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2018, : 617 - 622
  • [45] Lane change trajectory prediction considering driving style uncertainty for autonomous vehicles
    Chen, Guoying
    Gao, Zheng
    Hua, Min
    Shuai, Bin
    Gao, Zhenhai
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 206
  • [46] A Practical Trajectory Planning Framework for Autonomous Ground Vehicles Driving in Urban Environments
    Li, Xiaohui
    Sun, Zhenping
    He, Zhen
    Zhu, Qi
    Liu, Daxue
    2015 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2015, : 1160 - 1166
  • [47] Stability analysis of a digital hierarchical steering controller of autonomous vehicles with multiple time delays
    Bartfai, Andras
    Voros, Illes
    Takacs, Denes
    JOURNAL OF VIBRATION AND CONTROL, 2024, 30 (1-2) : 330 - 341
  • [48] A Robust Electric Power-Steering-Angle Controller for Autonomous Vehicles with Disturbance Rejection
    Khasawneh, Lubna
    Das, Manohar
    ELECTRONICS, 2022, 11 (09)
  • [49] Interactive trajectory prediction for autonomous driving based on Transformer
    Xu, Rui
    Li, Jun
    Zhang, Shiyi
    Li, Lei
    Li, Hulin
    Ren, Guiying
    Tang, Xinglong
    MECHANICAL SCIENCES, 2025, 16 (01) : 87 - 97
  • [50] Trajectory-Based Failure Prediction for Autonomous Driving
    Kuhn, Christopher B.
    Hofbauer, Markus
    Petrovic, Goran
    Steinbach, Eckehard
    2021 32ND IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2021, : 980 - 986