基于智能控制的钢坯加热炉炉温综合控制策略  

Integrated Control of Temperature in the Billet Heating Furnace Based on the Intelligence Theory

作　　者：张翠英[1] 田建艳[2] 

机构地区：[1]太原科技大学化学与生物工程学院,山西太原030021 [2]太原理工大学信息工程学院,山西太原030024

出　　处：《中北大学学报（自然科学版）》2007年第2期125-128,共4页Journal of North University of China(Natural Science Edition)

基　　金：山西省科技攻关资助项目(041100)

摘　　要：为了实现钢坯加热炉炉温的优化控制,研究了燃料流量的模糊专家控制,空/燃比的极值寻优以及炉膛压力的模糊P I控制策略.经过对某轧钢厂的现场调试,证明针对影响钢坯加热炉炉温的不同的因素,采用不同的智能控制策略,能够取得较好的整体控制效果.In order to realize the optimum control of the temperature in the billet reheating furnace,the fuzzy control and expert control of the fuel flow ,the optimization extreme of the air/fuel ratio, and the fuzzy PI control of the pressures in furnace are discussed. It has been proved by on-line test that better control effect can be obtained by applying different intelligent control strategies to the different controlled factors of rolling reheating furnace.

关 键 词：钢坯加热炉 炉温控制 智能控制 

分 类 号：TF703.7[冶金工程—钢铁冶金]