Multi-channel quantized output feedback fault-tolerant tracking control for electric vehicle lateral dynamics under
Ting-Ting Pan1, Xiao-Heng Chang1
1School of Artificial Intelligence and Automation, Wuhan University of Science and Technology, Wuhan, Hubei, 430081, China.
None:
This paper investigates the multi-channel quantized output feedback tracking control problem of the electric vehicles (EVs) lateral dynamics system under the influence of sensor faults. First, based on the nonlinear variations in longitudinal speed, mass, and moment of inertia about yaw axis, the EVs lateral dynamics system is modeled as a Takagi-Sugeno (T-S) fuzzy model with norm-bounded uncertain parameters. Meanwhile, considering the additive random sensor faults and the superimposed influence of multi-channel quantization, the non-fragile fuzzy observer and the resilient controller are designed, ensuring that the tracking error satisfies the H∞-tracking performance and the control output satisfies the L2-L∞ performance. Finally, co-simulations in MATLAB/Simulink and CarSim validate the effectiveness of the proposed design under the road conditions with different friction coefficients and high-speed turning.
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