控制器(灌溉)
更安全的
工程类
车辆动力学
能源消耗
MATLAB语言
模糊逻辑
模拟
向前看
理论(学习稳定性)
运动学
钥匙(锁)
控制理论(社会学)
曲率
控制工程
计算机科学
控制(管理)
汽车工程
人工智能
算法
数学
物理
计算机安全
电气工程
经典力学
机器学习
农学
生物
操作系统
几何学
作者
Fadel Tarhini,Reine Talj,Moustapha Doumiati
标识
DOI:10.1080/00423114.2023.2280215
摘要
The advent of autonomous vehicles has brought about significant advancements in transportation technology, promising safer and more efficient means of travel. However, their full integration into society depends on the accuracy of path-tracking realised by a lateral controller. Lateral control is achieved by regulating the steering angle to minimise the lateral error between the vehicle and a target point at a look-ahead distance on the reference path. This paper investigates the look-ahead distance as it is considered a key parameter that impacts vehicle performance, stability, and energy consumption. A qualitative analysis is performed to deduct a set of rules to adapt the look-ahead distance to three parameters: vehicle velocity, road curvature, and road adherence. Then, an original explicit mathematical formulation is developed for the look-ahead distance as a function of the considered parameters. A fuzzy logic decision for the look-ahead distance is further established and compared with the formulated one. Both approaches are implemented on a look-ahead distance-based lateral controller based on the super-twisting sliding mode control. Simulation results carried out in a joint simulation between Simulink/MatLab and SCANeRTM Studio vehicle dynamics simulator demonstrate the effectiveness of the developed model on vehicle performance, stability, computational efficiency, and energy consumption.
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