弹道
跟踪(教育)
控制器(灌溉)
车辆动力学
计算机科学
控制理论(社会学)
领域(数学)
变量(数学)
运动控制
控制(管理)
控制工程
工程类
人工智能
汽车工程
数学
机器人
心理学
数学分析
教育学
物理
天文
纯数学
农学
生物
作者
Yunfei Zha,Jianxian Deng,Yinyuan Qiu,Kun Zhang,Yanyan Wang
出处
期刊:SAE International journal of vehicle dynamics, stability, and NVH
日期:2023-05-24
卷期号:7 (2)
被引量:37
标识
DOI:10.4271/10-07-02-0014
摘要
<div>Trajectory tracking control, as one of the core technologies of intelligent driving vehicles, determines the driving performance and safety of intelligent driving vehicles and has received extensive attention and research. In recent years, most of the research results of trajectory tracking control are only applicable to conventional working conditions; however, the actual operating conditions of intelligent driving vehicles are complex and variable, so the research of trajectory tracking control algorithm should be extended to the high-speed low-adhesion coefficient, large curvature, variable curvature, and other compound limit working conditions. This requires more consideration of the vehicle dynamics in the controller design. In this article, a comprehensive review of trajectory tracking control under extreme operating conditions is conducted from three levels: vehicle dynamics model, vehicle speed tracking (longitudinal motion control), and path tracking (transverse motion control), and the existing research results are analyzed and summarized to obtain the research trends and pain points and difficulties in each field. On this basis, the future outlook of trajectory tracking control is proposed, which is expected to provide some help and inspiration to the research workers in this field.</div>
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