排
网络拓扑
拓扑(电路)
控制理论(社会学)
可扩展性
车辆动力学
控制器(灌溉)
代数图论
计算机科学
分散系统
理论(学习稳定性)
工程类
图形
控制(管理)
计算机网络
汽车工程
农学
生物
理论计算机科学
数据库
人工智能
电气工程
机器学习
作者
Yang Zheng,Shengbo Eben Li,Keqiang Li,Le Yi Wang
标识
DOI:10.1109/tcst.2015.2483564
摘要
The platooning of autonomous vehicles has the potential to significantly improve traffic capacity, enhance highway safety, and reduce fuel consumption. This paper studies the scalability limitations of large-scale vehicular platoons moving in rigid formation, and proposes two basic ways to improve stability margins, i.e., enlarging information topology and employing asymmetric control. A vehicular platoon is considered as a combination of four components: 1) node dynamics; 2) decentralized controller; 3) information flow topology; and 4) formation geometry. Tools, such as the algebraic graph theory and matrix factorization technique, are employed to model and analyze scalability limitations. The major findings include: 1) under linear identical decentralized controllers, the stability thresholds of control gains are explicitly established for platoons under undirected topologies. It is proved that the stability margins decay to zero as the platoon size increases unless there is a large number of following vehicles pinned to the leader and 2) the stability margins of vehicular platoons under bidirectional topologies using asymmetric controllers are always bounded away from zero and independent of the platoon size. Simulations with a platoon of passenger cars are used to demonstrate the findings.
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