针对汽车线控电液制动系统建立了单轮车辆模型,研制了一种新的状态观测器对车速进行估算,试验结果表明该方法正确实用。采用切换增益模糊调节的滑模控制算法对非线性时变的车辆实施基于最佳滑移率的制动控制,在Matlab/Simulink中的仿真结果和验证试验都表明在汽车线控制动系统应用该算法是可行、有效的,在该算法的控制下汽车可获得比一般滑模控制更好的制动性能。 A single-wheeled vehicle model was built for the automotive electro-hydraulic brake system. A new state observer was developed to estimate the vehicle speed. The experimental results show that the method is correct and practical. The sliding mode control algorithm with switching gain and fuzzy adjustment is adopted to implement the braking control based on the optimal slip ratio for vehicles with time-varying nonlinearities. The simulation results and verification tests in Matlab / Simulink show that in the application of this system The algorithm is feasible and effective, and under the control of the algorithm, the car can get better braking performance than the ordinary sliding mode control.