摘要
提出了一种基于参考模型的神经网络控制方法,讨论了它对 ABS 的影响。在此方法中,神经网络控制器产生一个输出制动扭矩,用这一扭矩调节车辆制动系统的车轮滑移率使之达到一预定的水平。该文用仿真方法研究了神经网络控制对不同路面条件下 ABS 的效果。
Considering the unlinearity of ABS,a model reference based neural network is introduced to control it.In this paper,a neural network controller is designed to porduce a braking torque to maintain the wheel slip at a desired level.Simulation shows the effectiveness when ABS is under different road situation.
