Sensor Fault Estimation of Uncertain Vehicle Electronic Stability Control System

doi:10.12068/j.issn.1005-3026.2023.01.001

Abstract

Abstract: An observer-based fault estimation strategy is proposed to solve the fault problem of yaw rate sensor. Firstly， considering the uncertainty caused by tire cornering stiffness characteristics and nonlinear disturbance in the system， the mathematical model of vehicle four-wheel steering system is established. Then， an observer-based sensor fault estimation strategy is designed， and the observer gain is solved by Lyapunov function and linear matrix inequality method. Finally， the effectiveness of the sensor fault estimation strategy is verified by Carsim and Simulink simulation. The results show that the proposed strategy can estimate the system state and sensor fault well when the sensor fault occurs. It can provide key information for vehicle safety and stability system， and provide technical support for the next step of sensor fault-tolerant control.

Key words: electronic stability control (ESC) system; sensor fault; observer; fault diagnosis; uncertainty

CLC Number:

TP273

WANG Hong-wei， ZHANG Hao-tian， HAN Jie， LIU Chen-yu. Sensor Fault Estimation of Uncertain Vehicle Electronic Stability Control System[J]. Journal of Northeastern University(Natural Science), 2023, 44(1): 1-8.

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