氧化铝回转窑制粉过程磨机负荷智能优化设定控制  

Intelligent Optimal Setting of Mill Load in Alumina Pulverizing Production

作　　者：张立岩[1] 贾瑶[1] 岳恒[1] 

机构地区：[1]东北大学流程工业综合自动化国家重点实验室,沈阳110004

出　　处：《化工自动化及仪表》2012年第11期1442-1445,1464,共5页Control and Instruments in Chemical Industry

基　　金：国家973项目(2009CB320601);111引智工程(B08015)

摘　　要：针对氧化铝制粉过程的特性,将前馈补偿与决策推理相结合,提出了基于案例推理的预设定模型、制粉单耗的神经网络预报模型和磨机负荷设定分析决策模型组成的氧化铝制粉过程磨音设定控制方法,并进行了工业应用研究。Aiming at characteristics of alumina milling process,and through having feedforward compensation and decision reasoning combined,a control method which consisting of the preset model of case-based reasoning technology,and the prediction model which based on neural network of milling consumption and the analysis model which based on set of mill load was proposed to set mill sound in the process of alumina production, meanwhile,its application study was implemented.

关 键 词：回转窑 制粉过程 磨机负荷 智能优化设定 

分 类 号：TH706[机械工程—仪器科学与技术]