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驱动防滑控制研究存在建模方法单一，控制器的目标滑转率不能与变化的路面条件相适应，未考虑车辆轴荷转移对车轮附着性能的影响等问题。为解决上述问题，建立了基于Carsim与Matlab/Simulink联合仿真的整车动力学模型；设计了基于双模糊算法的自适应驱动防滑控制器，控制器中加入路面识别模块，能够估计变化的路面附着条件，根据估计结果选择最优的目标理想滑转率，实现对当前路面的自适应控制；分别设计了前后轴驱动防滑控制器，实现前后轴差别控制。针对不同工况，对建立的整车模型及驱动防滑控制器进行了验证。
The research on anti-skid control has the following problems: the single modeling method, the controller’s target slip ratio can not adapt to the changing road conditions, and does not consider the influence of axle load transfer on wheel attachment performance. In order to solve the above problems, a vehicle dynamic model based on Carsim and Matlab / Simulink co-simulation is established. An adaptively driven anti-skid controller based on double-fuzzy algorithm is designed. Adding pavement identification module to the controller can estimate the change of road surface adhesion Condition, the optimal target slip ratio is selected according to the estimation result to realize the adaptive control of the current road surface; the anti-skid controller with front and rear axle drive is respectively designed to realize the differential control of the front and rear axles. According to different working conditions, the established vehicle model and the anti-skid controller are verified.