Hierarchical lane-changing control for vehicle platoons in prescribed performance☆ ☆

被引:13
作者
Che, Wei-Wei [1 ,2 ]
Zhang, Lili [3 ]
Deng, Chao [4 ]
Wu, Zheng-Guang [5 ]
机构
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[3] Qingdao Univ, Sch Automat, Shandong Key Lab Ind Control Technol, Qingdao 266071, Peoples R China
[4] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210000, Jiangsu, Peoples R China
[5] Zhejiang Univ, Inst Cyber Syst & Control, State Key Lab Ind Control Technol, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Lane changing; Prescribed performance; Hierarchical control; Vehicle platoon; Collision avoidance; AUTOMATED VEHICLES; PREDICTIVE CONTROL; NONLINEAR-SYSTEMS; TRACKING CONTROL; STABILITY;
D O I
10.1016/j.automatica.2024.111972
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a hierarchical control approach to solve the prescribed performance lanechanging control problem for nonlinear vehicle platoons. By incorporating the collision avoidance and comfort assurance conditions specifically tailored for vehicle platoons, the value range of the safe lane-changing completion time (LCCT) can be calculated. Based on which, the longitudinal and lateral reference displacements are determined for the leader vehicle, respectively. Further, to safely achieve the prescribed performance lane changing in the operational layer, a class of more practical performance functions is designed based on the calculated LCCT as the key technology for proposing the neural network longitudinal and lateral control protocols. The developed lane-changing control strategies guarantee that the vehicle platoon can track the obtained reference trajectory while avoiding inter-platoon and intra-platoon collisions. Furthermore, the safe lane-changing maneuver can be achieved within the predefined LCCT with the preset accuracy. Finally, the availability of the proposed hierarchical algorithm is checked through two simulation examples with comparisons. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页数:15
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