控制理论(社会学)
偏航
跟踪误差
边界(拓扑)
反推
工程类
李雅普诺夫函数
理论(学习稳定性)
冗余(工程)
计算机科学
数学
控制(管理)
自适应控制
汽车工程
非线性系统
人工智能
数学分析
物理
量子力学
机器学习
可靠性工程
作者
Yuan Ji,Junzhi Zhang,Chen Lv,Chengkun He,Xiaohui Hou,Jinheng Han
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2023-07-13
卷期号:72 (12): 15317-15329
被引量:14
标识
DOI:10.1109/tvt.2023.3294972
摘要
Vehicle lateral stability is of great importance for maintaining vehicle safety. Active front-wheel steering (AFS) is the typical actuator to realize lateral control. However, if a fault occurs on AFS, direct yaw rate control (DYC) can also be used to control lateral stability through differential braking, guaranteeing actuation redundancy. The paper proposes a practical active fault tolerant method for controlling the AFS to DYC process in case of a complete failure of AFS, whereby DYC is expected to take over the control after a certain duration. The proposed method has a distinctive feature in that it can keep the yaw rate tracking error within a predetermined boundary before the failure occurrence and recover the error back to the preset boundary within a desired time period after the DYC takes over. Specifically, the proposed method can guarantee a strict constraint of yaw rate tracking error before the fault occurs on AFS. Furthermore, the method can recover the error back to the desired error boundary in a finite time once the DYC starts to operate. The key points of the method are as follows: First, a tangent barrier Lyapunov function (TBLF) is used with a backstepping mechanism to strictly constrain the yaw rate tracking error in a desired error boundary. Second, the delayed switch from AFS to DYC, which may cause a violation of the preset error boundary, is considered. And a set of functions named reconfigurable transform functions (RTF) are carefully designed, using which the tracking error can recover to the preset boundary within the desired time. The effectiveness of the proposed method is validated and compared with two comparative methods through co-simulation between the High-fidelity vehicle simulation software CarSim $\circledR$ and Matlab/Simulink.
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