执行机构
控制理论(社会学)
饱和(图论)
容错
工程类
计算机科学
控制(管理)
控制工程
电气工程
数学
可靠性工程
组合数学
人工智能
作者
Zhenyu Gao,Yi Zhang,Ge Guo
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2023-02-01
卷期号:72 (2): 1438-1448
被引量:7
标识
DOI:10.1109/tvt.2022.3209802
摘要
This paper investigates the prescribed performance control problem for a vehicular platoon (i.e., a group of vehicles that travels in close proximity to one another, nose-to-tail, at highway speeds) simultaneously considering actuator faults and saturation. In the first case, a Gaussian error function (GEF) is applied to replace the nonsmooth actuator saturation of each vehicle in a smooth way. Then, a finite-time prescribed performance function (FNPPF) is proposed, which guarantees the tracking error of the platoon system converges to a predetermined region in a defined time. Subsequently, by combing the fuzzy-logic system (FLS) and parameter learning algorithm, an adaptive control scheme is developed in the context of sliding mode control, which guarantees all signals in the closed-loop system are practically finite-time stable. Finally, numerical simulations are carried out for a six-vehicle platoon to show the effectiveness of the proposed algorithm.
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