Takagi-Sugeno Fuzzy-based Kalman Filter Observer for Vehicle Side-slip Angle Estimation and Lateral Stability Control
RIS ID
138108
Abstract
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.
Publication Details
L. Zhang, B. Li, H. Du & B. Zhang, "Takagi-Sugeno Fuzzy-based Kalman Filter Observer for Vehicle Side-slip Angle Estimation and Lateral Stability Control," in 3rd International Symposium on Autonomous Systems, ISAS 2019, 2019, pp. 352-357.