基于智能控制系统的陶瓷球磨机神经网络控制方法的开发

The Development of Neural Network Control System of Circuit Ball Mill Based on Intelligent Control

介绍了球磨机负荷智能监控系统的整体结构设计。采用声发射波传感器提取信号,用分布式的微型控制器控制球磨机的运行状态,保证了球磨机的良好运行。同时,笔者基于神经网络的概念具体分析了智能控制系统的控制方法的开发步骤,引入神经网络对球磨机模型进行辨识,通过对物理特性跟踪实现对产量的控制,使其以最小方差保持在最佳值附近,以便实现高产、稳产。

This paper introduces the constructional design of bowl mill. Acording to the work featuresof the bowl mill, this system uses the acoustic emission sensor to get the signal, it uses an distributive microcontroller to control the work conditions. A realization of neural network control system for ground material at a closed circuit ball mill, using neural network to establish reverse model, realize controlling of product quantity of ball mill through tracking physics characters is developed.