卡西姆
控制理论(社会学)
轴
电子稳定控制
电动汽车
偏航
计算机科学
控制器(灌溉)
模糊控制系统
力矩(物理)
理论(学习稳定性)
车辆动力学
汽车工程
模糊逻辑
工程类
控制(管理)
功率(物理)
人工智能
物理
机器学习
生物
机械工程
经典力学
量子力学
农学
作者
Houzhong Zhang,Jiasheng Liang,Haobin Jiang,Yingfeng Cai,Xing Xu
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2019-01-01
卷期号:7: 106225-106237
被引量:49
标识
DOI:10.1109/access.2019.2933016
摘要
As one of the active safety technologies, stability control of vehicles has recently received great attention.In order to improve the handling stability of distributed drive electric vehicles under various extreme conditions, a direct yaw moment control (DYC) method based on a novel fuzzy sliding mode control (FSMC) is proposed.First, a linear 2DOF reference vehicle model as ideal value reference, a 7DOF vehicle model used for sideslip angle estimation, an electric-driving wheel model used to provide tire motion parameters based on CarSim platform are established.Then, FSMC is designed as the core decision-making layer of the control method to calculate the required additional yaw moment on the premise of estimating the sideslip angle.Four hub motors are allocated by the distribution method based on axle load proportion.Finally, under two typical working conditions, the four hub motors are allocated.Compared with traditional sliding mode control (SMC), the results show that FSMC can not only maintain vehicle stability more effectively under different working conditions, but also greatly reduce the occurrence of buffeting phenomenon, which has practical significance for engineering applications.
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