控制理论(社会学)
反推
终端滑动模式
稳健性(进化)
卡西姆
李雅普诺夫函数
偏航
线性二次调节器
鲁棒控制
车辆动力学
计算机科学
人工神经网络
控制器(灌溉)
滑模控制
最优控制
自适应控制
Lyapunov稳定性
控制工程
工程类
控制系统
液压缸
瞬态(计算机编程)
指数稳定性
主动悬架
滑倒
打滑(空气动力学)
主动转向
弹道
变结构控制
作者
Junzhu Wang,Youqun Zhao,Fen Lin,Yanbing Liu
标识
DOI:10.1177/09544070251406926
摘要
To enhance the safety of steer-by-wire (SbW) vehicles, a hierarchical vehicle stability control strategy consisting of an upper-level active front wheel steering (AFS) controller and a lower-level steering angle tracking controller is proposed. Firstly, in response to the parameter uncertainties and external disturbances in the vehicle dynamics model, a combination of linear quadratic regulator (LQR) optimal control, sliding mode control (SMC), and adaptive control techniques is employed to design an upper-level AFS controller based on adaptive robust optimization. This controller not only optimizes control objectives but also exhibits robust performance, ensuring the convergence of the actual side slip angle and yaw rate. Subsequently, a novel adaptive backstepping nonsingular fast terminal sliding mode (ABNFTSM) controller based on neural network approximator is designed in the lower-level to track the expected front wheel steering angle calculated in the upper-level. The fusion of Radial Basis Function Neural Networks (RBFNN) overcomes the dependence of traditional SMC on the upper bound of unknown functions. The designed controller provides high robustness, rapid transient response, and finite-time convergence, while retaining the global asymptotic stability of the backstepping control strategy based on Lyapunov criterion. Finally, the effectiveness and robustness of the proposed control strategy across various operating conditions are verified through three sets of simulation tests on the CarSim Simulink platform.
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