Title

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

RIS ID

138108

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.

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.

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Link to publisher version (DOI)

http://dx.doi.org/10.1109/ISASS.2019.8757751