排
网络拓扑
控制理论(社会学)
观察员(物理)
控制器(灌溉)
控制工程
多智能体系统
自适应控制
计算机科学
车辆动力学
工程类
拓扑(电路)
控制(管理)
计算机网络
汽车工程
物理
量子力学
人工智能
农学
生物
电气工程
作者
Jingyao Wang,Xingming Deng,Jinghua Guo,Yugong Luo,Keqiang Li
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2022-12-14
卷期号:28 (3): 1683-1694
被引量:13
标识
DOI:10.1109/tmech.2022.3226208
摘要
This article proposes a fully distributed adaptive control framework to tackle the problem of intelligent-connected electric vehicles platooning with input saturation and topology changes. First, a longitudinal vehicle platoon system is investigated. A linearized dynamics model of each vehicle is provided while considering input saturation. Second, abnormal communication scenarios are given, which are described by the Markovian randomly switching topologies with several assumptions provided. Furthermore, a triple-observer structure consisting of a local observer, a distributed observer, and an antiwindup observer, is developed to establish a fully distributed adaptive antiwindup controller. The controller enables to ensure the stability of the vehicle platoon system solely requiring the local output information of each following vehicle, while avoiding the acquisition of global information. This control protocol provides a reliable solution for dealing with the input saturation constraints and the randomly switching communication topologies. Finally, the feasibility and the effectiveness of this adaptive protocol are validated by conducting some numerical simulations.
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