基于神经网络的球磨机出力软测量模型研究

球磨机出力检测和控制是球磨机自动控制的重要内容,然而,目前在实际生产过程中,球磨机出力缺少有效可靠的检测手段,因此很难实现优化控制.结合基于神经网络的软测量和混沌信息处理技术两者的优点,建立球磨机出力软测量模型.该模型不仅能预估稳态下球磨机出力,且对动态过程中球磨机出力的在线估计也切实有效,从而为球磨机的出力监测、给煤...

Study on Soft-sensor Model of Ball Mill Produce Based on Neural Network

The detection and control of ball mill produce is an important part of automatic control,however,in the actual production process,contribute to the lack of effective and reliable ball produce detection means,it is difficult to achieve optimal control.Based on neural network and chaos theory,soft-sensor model for ball mill is built in this paper.This model can not only predict ball mill produce at steady state,but also be feasible to estimate the ball mill produce online,so as to contribute to ball mill produce monitor,coal feed control and system optimization.