Takagi-Sugeno Fuzzy-based Kalman Filter Observer for Vehicle Side-slip Angle Estimation and Lateral Stability Control

被引：0
作者：
Zhang, Liqin [1 ]
Li, Boyuan [1 ]
Du, Haiping [2 ]
Zhang, Bangji [1 ]
机构：
[1] Hunan Univ, State Key Lab Adv Design Mfg Vehicle Body, Changsha 410082, Peoples R China
[2] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
来源：
2019 3RD INTERNATIONAL SYMPOSIUM ON AUTONOMOUS SYSTEMS (ISAS 2019) | 2019年
基金：
中国博士后科学基金;
关键词：
Takagi-Sugeno (T-S) fuzzy; fuzzy logic control; side-slip angle; TIRE FORCE ESTIMATION; YAW MOMENT CONTROL; ALGORITHM;
D O I：
10.1109/isass.2019.8757751
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In current literature, the side-slip angle estimation has been extensively focused due to the importance of the side-slip angle information on the vehicle system control. In this study, the innovative Kalman filter observer for side-slip angle is proposed based on the Takagi-Sugeno (T-S) fuzzy modeling of vehicle non-linear lateral dynamics. Then based on the estimated side-slip angle, the fuzzy logic direct yaw moment controller is proposed to improve the vehicle performance. Finally, simulation results are presented to verify the proposed estimator and controller.
引用
收藏
页码：352 / 357
页数：6
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