基于路面识别的重载车ABS控制与硬件在环试验

ABS Controland Hardware in Loop Investigation for a Heavy Duty Vehicle Based on Road Recognition

建立了整车多体动力学模型,提出了路面附着系数估计算法,在Matlab/Simulink中搭建了路面识别模块和ABS制动模块以及制动压力模块,应用自适应的控制策略对整车的制动性能进行仿真分析.在三轴汽车底盘实验台上进行了硬件在环测试,验证了含有路面识别的ABS控制系统的车辆制动距离明显小于无路面识别的ABS控制系统的车辆制动距离,具有良好的自适应性和控制精度.

An algorithm for estimating the adhesion coefficient of road surface was proposed by building vehicle multi-body dynamic model.The road identification module,the braking module and brake pressure module of anti-lock braking system(ABS)were built in MATLAB/Simulink.And the braking performance of the vehicle was simulated and verified based on the adaptive control strategy.The hardware in the loop test was carried out on a triaxial automobile chassis test platform.The results show that,the vehicle braking distance with road recognition of ABS control system is shorter than that without road recognition of ABS control system.This system shows better adaptability and control precision.