偏航
底盘
控制理论(社会学)
电子稳定控制
工程类
力矩(物理)
补偿(心理学)
车辆动力学
模糊控制系统
欧拉角
卡尔曼滤波器
汽车操纵
模糊逻辑
汽车工程
计算机科学
控制(管理)
数学
航空航天工程
物理
人工智能
心理学
经典力学
精神分析
几何学
作者
Tao Sun,Hao Guo,Jianyong Cao,Ling-jiang Chai,Yuedong Sun
摘要
Considering the vehicle lateral velocity is difficult to be measured at integration of chassis control in configuration of production vehicle, this study presents the vehicle lateral velocity estimation based on the extended Kalman filtering with the standard sensor information. The fuzzy control algorithm is proposed to integrate direct yaw moment control and active front steering with lateral velocity estimation. The integration controller produces direct yaw moment and front wheel angle compensation to control yaw rate and sideslip angle, which makes the actual vehicle yaw rate and sideslip angle follow desirable yaw rate and desirable sideslip angle. The simulation results show vehicle handling and stability are enhanced under different driving cycles by the proposed algorithm.
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