Vehicle adaptive cruise control strategy based on improved safe distance model for off-roads with changeable pavement and slope

被引:1
|
作者
Liu, Hui [1 ,2 ]
Guo, Congshuai [1 ]
Han, Lijin [1 ,2 ]
Nie, Shida [1 ]
机构
[1] Beijing Inst Technol, Natl Key Lab Vehicular Transmiss, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Adv Technol Res Inst Jinan, Jinan, Peoples R China
关键词
Off-road conditions; adaptive cruise control; safe distance; improved safe distance model; model predictive control; PREDICTIVE CONTROL;
D O I
10.1177/09544070241264881
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Compared with the structured environment, off-road environment has complex and ever-changing road conditions. This paper is focused on the vehicle adaptive cruise task for vehicles driving on complex off-road terrain. Traditional ACC strategies do not take the complex road conditions into consideration, thus easily make the relative distance between vehicles unreasonable. To solve this problem, an off-road adaptive cruise control (OACC) strategy is proposed for off-roads with changeable pavement and slope. Firstly, the influence of road conditions and vehicle relative motion states on safe distance between vehicles have analyzed with the aim of developing a more reasonable space strategy for off-road conditions. Then, based on the analysis results, an improved safe distance model (ISDM) is proposed which take the influence factors into account comprehensively. The concept of road impact factor is proposed to prevent model degradation and effectively balance the influence of single road conditions and comprehensive factors on safe distance. Besides, target to improve the adaptability of ACC, a novel state space model has developed which can handle not only the change of vehicle motion states but also road conditions. In addition, the MPC-based OACC for off-road environment is proposed, which can enable the vehicle to better adapt to relative motion states and road conditions based on the novel state space model. Finally, the performance of OACC is verified by co-simulation in MATLAB/Simulink and Carsim, and a hardware-in-the-loop simulation system. Furthermore, the analysis of ISDM has conducted to illustrate the differences and similarities compared with the traditional safe distance models and to verify the effectiveness of ISDM. Simulation results show that the OACC and ISDM proposed in this paper have great performance in different off-road working conditions.
引用
收藏
页数:15
相关论文
共 23 条
  • [21] Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
    Hamid, Umar Zakir Abdul
    Ariff, Mohd Hatta Mohammed
    Zamzuri, Hairi
    Saito, Yuichi
    Zakaria, Muhammad Aizzat
    Rahman, Mohd Azizi Abdul
    Raksincharoensak, Pongsathorn
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2018, 90 (3-4) : 363 - 385
  • [22] Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
    Umar Zakir Abdul Hamid
    Mohd Hatta Mohammed Ariff
    Hairi Zamzuri
    Yuichi Saito
    Muhammad Aizzat Zakaria
    Mohd Azizi Abdul Rahman
    Pongsathorn Raksincharoensak
    Journal of Intelligent & Robotic Systems, 2018, 90 : 363 - 385
  • [23] A modified model-free-adaptive-control-based real-time energy management strategy for plug-in hybrid electric vehicle
    Liu, Xiaodong
    Guo, Hongqiang
    Du, Juan
    Zhao, Xuan
    ENERGY SCIENCE & ENGINEERING, 2022, 10 (10) : 4007 - 4024