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高炉炉顶布料的自学习控制
引用本文:王劲松. 高炉炉顶布料的自学习控制[J]. 自动化与仪器仪表, 2009, 0(3): 108-110
作者姓名:王劲松
作者单位:中冶赛迪工程技术股份有限公司自动化事业部,重庆,400013
摘    要:传统的炉顶料流调节阀开度控制是由生产操作人员凭自身经验进行人工操作,难以达到最为合理的布料效果。采用自学习控制算法使料流调节阀能根据不同的原料特性及炉况条件,自动的、适时的调节布料速度,以达到理想的布料效果。笔者在本钢3、4高炉开发成型,红钢3高炉成功稳定运用,效果良好,程序模型稳定。

关 键 词:料流调节阀  布料曲线  自学习模型

The self-learning contronl of blast furnace top fabric
WANG Jin-song. The self-learning contronl of blast furnace top fabric[J]. Automation & Instrumentation, 2009, 0(3): 108-110
Authors:WANG Jin-song
Abstract:The traditional valve opening controlling for the material flow control gate of the furnace roof used to be operaed manually basing on the opertors'experience, it is not easy to distribute the material properly. The self-learning algorithm can make the control valve adjust the distributing speed automatically according to the characteristic of the material and the condition of the furnace. This algorithm has been developed at No.3 and No.4 blast fiimace in Ben-Steel Factory, and it is now implemented stably at No.3 blast furnace in Honghe- Steel .
Keywords:Material flow control valve : Distribution curve : Self-learnmg model
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