控制理论(社会学)
滑模控制
卡西姆
控制器(灌溉)
偏航
MATLAB语言
模式(计算机接口)
工程类
变结构控制
计算机科学
车辆动力学
控制(管理)
汽车工程
非线性系统
物理
农学
量子力学
人工智能
生物
操作系统
作者
Qiping Chen,Xiong Zhao,Yiming Hu,Liang Huang,Qin Liu,Daoliang You
标识
DOI:10.1177/01423312231196400
摘要
To solve the problems of serious buffeting in traditional sliding mode control and difficulty in obtaining the derivative information of the system sliding mode surface, a distributed drive electric vehicles active front steering (AFS) control method based on adaptive super-twisting sliding mode control (ASTSMC) is proposed. Taking the yaw rate deviation as the state quantity, the stable and convergent sliding mode surface is designed to obtain the equivalent control input of the front wheel angle. The sliding mode function information is substituted into the parameters of the super-twisting algorithm; the discontinuous term is kept in the integrand function to keep the control signal continuous and weaken the system chattering; the adaptive control law is added to design the AFS controller. The co-simulation results of Matlab/Simulink and Carsim show that ASTSMC can reduce the yaw rate by 40.59% compared with no control under step steering condition. Compared with the sliding mode controller, ASTSMC has optimized the sideslip angle by 5.41% under the double line shifting condition.
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