基于神经网络的水泥回转窑控制系统研究

水泥回转窑的工作过程是水泥生产中的核心部分,它的生产过程是一个具有大惯性,纯滞后,非线性和强耦合的过程,建立精确的复杂模型非常困难,针对水泥回转窑工作过程中起关键作用的物料温度、窑转矩、含量,用ART-2和BP两种神经网络进行数据融合、分类,得到能较准确反映现场的工况信息,达到对回转窑电机的控制。

Research on Control System of Cement Rotary Kiln Based on Neural Network

The production process of the cement rotary kiln is the core part of the cement produce.It is a complex engineering thermodynamics reaction process with great inertia,pure lag,non-linearity and strong coupling.It is difficult to establish accurate and complex model.In order to control the motor of rotary cement kiln,this paper fuse the temperature of material, torque of rotary cement kiln,percent of,which through classify data by ART-2 and BP neural network to get the accurate engineering status.