Quantized Fuzzy Feedback Control for Electric Vehicle Lateral Dynamics
研究了电动汽车横向动力学的量化反馈控制问题，用T-S模糊模型表示非线性车辆横向动力学，提出新Lyapunov函数和两步设计策略，保证与无量化相同的性能，并通过MATLAB/Simulink和Carsim联合仿真验证有效性。
The problem of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathfrak{L}_{2}-\mathfrak{L}_{\infty}$</tex-math> </inline-formula> 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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathfrak{L}_{2}-\mathfrak{L}_{\infty}$</tex-math> </inline-formula> 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.