Human-machine shared control for lane departure assistance based on hybrid system theory

被引:17
作者
Chen, Wuwei [1 ]
Zhao, Linfeng [1 ]
Tan, Dongkui [1 ]
Wei, Zhenya [1 ]
Xu, Kai [1 ]
Jiang, Yuting [1 ]
机构
[1] Hefei Univ Technol, Sch Automot & Transportat Engn, 193 Tunxi Ave, Hefei 230009, Anhui, Peoples R China
关键词
Hybrid system; Lane departure assistance; Human-machine; Shared control; System stability; DYNAMICS;
D O I
10.1016/j.conengprac.2018.12.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To improve the human-machine cooperation of lane departure assistance system (LDAS), a human-machine shared control strategy based on hybrid system theory was proposed. By considering vehicle's discrete and continuous states and time-varying longitudinal speed, the hybrid system was formalized as hybrid automaton, and the shared control strategy was built to govern the human-machine interaction. Robust gain-scheduling energy-to-peak method was adopted to design the assistance system controller. The D-stability of the system was also studied and guaranteed by solving the linear matrix inequality (LMI). The proposed human-machine shared control method was evaluated via the co-simulation of CarSim/Simulink and the hardware-in-loop (HIL) experiment. The results showed that the proposed approach can effectively keep the vehicle in lane and a good human-machine coordination was demonstrated.
引用
收藏
页码:399 / 407
页数:9
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