Ground vehicle lane-keeping assistance system via differential flatness output feedback control and algebraic derivative estimation

被引:7
作者
Wang, Zejiang [1 ]
Zhou, Xingyu [2 ]
Cosio, Adrian [3 ]
Wang, Junmin [2 ]
机构
[1] Oak Ridge Natl Lab, Knoxville, TN 37932 USA
[2] Univ Texas Austin, Walker Dept Mech Engn, Austin, TX 78712 USA
[3] Sandia Natl Labs, Albuquerque, NM 87123 USA
基金
美国国家科学基金会;
关键词
Algebraic differentiation; Differential flatness; Lane-keeping assistance; Model-free control; AUTOMATION SHARED CONTROL; DRIVER; BEHAVIOR; MODEL; DESIGN;
D O I
10.1016/j.conengprac.2023.105576
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Vehicle run-off-road is one of the most frequent and fatal traffic accidents in the United States. Various lane -keeping assistance (LKA) systems have been developed in the last decade to help drivers stay on the road. Most of them are built upon linear driver-vehicle-road (DVR) models and treat road curvature as a disturbance. Albeit effective, their control performance would degrade if road curvature varies rapidly. This paper proposes a novel nonlinear DVR model by integrating a driver steering model into vehicle-road kinematics, which explicitly considers road curvature. Particularly, this nonlinear DVR system has been proven to be differentially flat, and a flatness-based LKA system is designed. Additionally, Model-Free Control is introduced to compensate for system modeling errors. Hardware-in-the-loop simulations and diver-in-the-loop experiments validate the proposed control framework and demonstrate the performance enhancement with respect to a representative linear robust LKA system.
引用
收藏
页数:13
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