Integration sliding mode control for vehicle yaw and rollover stability based on nonlinear observation

偏航 控制理论(社会学) 电子稳定控制 控制器(灌溉) 工程类 滑模控制 模糊逻辑 欧拉角 非线性系统 卡西姆 车辆动力学 计算机科学 数学 汽车工程 农学 物理 几何学 控制(管理) 量子力学 人工智能 生物
作者
Chuanbin Sun,Zhangbao Xu,Shuchao Deng,Baohong Tong
出处
期刊:Transactions of the Institute of Measurement and Control [SAGE Publishing]
卷期号:44 (15): 3039-3056 被引量:4
标识
DOI:10.1177/01423312221099414
摘要

An active rear steering and direct yaw moment (ARS-DYC) coordination control is conducted on the basis of nonlinear fuzzy observation to improve yaw and roll stability control of vehicles under extreme conditions. First, a Takagi–Sugeno (T-S) model of yaw and roll motion is established, and tire nonlinearity at emergency steering is approximated with sector domain. A nonlinear fuzzy observation model is established on the basis of the extended Kalman filter (EKF) to observe the sideslip angle, yaw rate, and roll state accurately under extreme conditions in real time. Second, an improved ideal yaw reference model under the T-S framework is constructed in accordance with the effect of yaw rate on roll stability, and the feedforward control of roll stability is achieved through yaw motion tracking. A fuzzy sliding mode controller is designed on the basis of nonlinear fuzzy observation considering tire sideslip stiffness and actuator constraints, and the coordinated control strategy of layered sliding mode surface for yaw and roll is constructed. Finally, the parameters of sub-sliding mode surface are adjusted with the 4-wire phase plane stability domain, the main sliding mode surface parameters are adjusted following the roll stability index, and the stability of the fuzzy sliding mode controller is proven in the Lyapunov framework. A hardware-in-loop simulation test is established with Carsim-Labview software, and results show that the proposed controller significantly enhances the yaw and roll stability of vehicles under the extreme steering process, due to the accuracy of nonlinear dynamic observation and the flexibility of layered sliding surface coordinated control.
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