학술논문

Quantized Fuzzy Feedback Control for Electric Vehicle Lateral Dynamics
Document Type
Periodical
Source
IEEE Transactions on Systems, Man, and Cybernetics: Systems IEEE Trans. Syst. Man Cybern, Syst. Systems, Man, and Cybernetics: Systems, IEEE Transactions on. 54(4):2331-2341 Apr, 2024
Subject
Signal Processing and Analysis
Robotics and Control Systems
Power, Energy and Industry Applications
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Vehicle dynamics
Quantization (signal)
Feedback control
Nonlinear dynamical systems
Mathematical models
Linear systems
Electric vehicles
Dynamic quantization
electric vehicle
L₂-L∞ performance
lateral dynamics
T-S fuzzy systems
Language
ISSN
2168-2216
2168-2232
Abstract
The problem of $\mathfrak {L}_{2}-\mathfrak {L}_{\infty }$ quantized feedback control for lateral dynamics of electric vehicles is investigated in this article, in which the nonlinear vehicle lateral is represented by the T–S fuzzy model. A novel Lyapunov function and two-step design strategy are introduced to design the controller and the quantizer, which guarantee the same $\mathfrak {L}_{2}-\mathfrak {L}_{\infty }$ performance as without quantization. Compared with the existing results, the advantage of the proposed design strategy is that the coefficient can be set to change the adjustment range of the quantizer parameters, thereby reducing the conservative of the design. Finally, the co-simulation of MATLAB/Simulink and Carsim with a full-vehicle model is provided to demonstrate the effectiveness of the proposed design strategy.