基于模糊神经网络的汽车ABS控制系统联合仿真

Auto ABS Control System Co-simulation Based on Fuzzy Neural Network

对防抱死制动系统的原理进行总结分析，在ADAMS中建立了一个包含前后悬架系统、动力系统、转向系统、稳定系统、制动系统、车身系统以及轮胎模型、道路模型的整车模型。针对汽车ABS的非线性系统。在MATLAB／Simulink中采用模糊神经网络控制策略设计ABS控制器。通过接口设置进行联合仿真，验证了所提算法的可行性，结果表明基于模糊神经网络的控制方法可以获得良好的控制效果。

The theory of anti-lock braking system was expounded.A full vehicle model built by ADAMS,including front and rear suspension system,engine system,steering system,anti-roll system,brake system,vehicle body model, tire model and road model.ABS controller designed by fuzzy neural network method in MATLAB/Simulink according to its nonlinear system.Through setting the interface,co-simulation show applicability of the algorithm and the results show that the control method based on fuzzy neural network can get good control effect.