控制理论(社会学)
控制器(灌溉)
汽车操纵
理论(学习稳定性)
工程类
偏航
自适应神经模糊推理系统
控制工程
电子稳定控制
模糊逻辑
跟踪(教育)
自适应控制
车辆动力学
模糊控制系统
计算机科学
控制(管理)
汽车工程
人工智能
机器学习
生物
教育学
心理学
农学
作者
Haohan Yang,Liu Wentong,Li Chen,Fan Yu
出处
期刊:Mechatronics
[Elsevier]
日期:2021-08-01
卷期号:77: 102583-102583
被引量:10
标识
DOI:10.1016/j.mechatronics.2021.102583
摘要
This paper proposes a novel adaptive hierarchical control approach for Steer-by-Wire (SbW) vehicles to improve the handling stability. The high-level stability control scheme contains a variable steering ratio (VSR) strategy based on the adaptive-network-based fuzzy inference system (ANFIS) and an active front steering (AFS) controller designed with the integral sliding mode method by tracking the expected yaw rate, in which the desired front wheel angle is generated to enhance the cornering stability performance. Besides, an adaptive tracking controller (ATC) for the SbW system is designed by using the adaptive sliding mode control method to achieve desired steering performance in the lower level. The proposed adaptive control strategy is validated with different driving circles from ISO standards in simulation tests and hardware-in-the-loop (HiL) experiments. The results demonstrate that the designed control approach improve the vehicle handling stability significantly, even in some extreme driving conditions.
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