基于模糊神经网络驼峰溜放速度的控制

Application of Fuzzy Neural Network on Rolling Speed Control

提出了一种基于模糊神经网络理论求得动态出口速度的模型,使用改进的误差反向传播学习算法进行学习,具有很好的自学习和自适应能力,能根据列车的溜放实际情况自动调整减速器出口速度。仿真结果表明,模糊神经网络用在驼峰溜放速度控制中有很好的效果。

A dynamic exit speed model based on fuzzy neural network was proposed and used improved BP arithmetic, which makes the model have better selflearn and selfadapt ability, and can adjust exit speed automatically according to the real rolling process. The results of simulation show that fuzzy neural network applying to rolling speed control is very effective. 