量化(信号处理)
符号
控制理论(社会学)
MATLAB语言
数学
应用数学
算法
计算机科学
算术
控制(管理)
人工智能
操作系统
作者
Xiao-Heng Chang,Yi Liu
出处
期刊:IEEE Transactions on Intelligent Transportation Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:23 (9): 16026-16037
被引量:9
标识
DOI:10.1109/tits.2022.3147481
摘要
This article proposes a robust $\mathcal {H}_\infty $ output feedback control strategy to improve vehicle lateral stability through active front wheel steering with quantization error, transmission delay and data dropouts. Since vehicle lateral dynamics presents inherently uncertain challenges, the polytopic technique is used and the variation of tire cornering stiffness is compensated via norm-bounded uncertainty. Meanwhile, considering that the measurement outputs are inevitably suffer from network-induced constrains, i.e. the quantization error, transmission delay and data dropouts, which degrade the stability and handling performance of vehicle, a robust gain-scheduling $\mathcal {H}_\infty $ output feedback controller design strategy is proposed and the stability conditions are presented in the form of linear matrix inequalities that are derived from Lyapunov asymptotic stability and quadratic $\mathcal {H}_\infty $ performance. Finally, two simulation cases are carried out with MATLAB/Simulink-Carsim to validate the effectiveness of the proposed method.
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