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实现粒度指标的磨矿过程智能优化控制系统
引用本文:周平,丁进良,赵大勇,柴天佑. 实现粒度指标的磨矿过程智能优化控制系统[J]. 控制工程, 2006, 13(4): 334-337
作者姓名:周平  丁进良  赵大勇  柴天佑
作者单位:东北大学,教育部暨辽宁省流程工业综合自动化重点实验室,辽宁,沈阳,110004;东北大学,教育部暨辽宁省流程工业综合自动化重点实验室,辽宁,沈阳,110004;东北大学,教育部暨辽宁省流程工业综合自动化重点实验室,辽宁,沈阳,110004;东北大学,教育部暨辽宁省流程工业综合自动化重点实验室,辽宁,沈阳,110004
基金项目:国家高技术研究发展计划(863计划);教育重点实验室基金
摘    要:磨矿过程具有多变量、非线性、强耦合、大时滞、时变等综合复杂特征,其关键工艺指标磨矿粒度难以用常规控制方法进行直接控制。将基础控制、智能控制以及软测量技术相结合,构建了实现磨矿粒度指标的磨矿过程智能优化控制系统。该系统由基础控制系统、过程监控系统以及智能优化设定系统组成,具有设备顺序逻辑控制、回路控制、过程监控以及回路智能优化设定等功能。该系统已成功应用在某大型选矿厂的磨矿过程中,取得了显著效益,具有推广应用的前景。

关 键 词:磨矿过程  磨矿粒度  智能优化控制
文章编号:1671-7848(2006)04-0334-04
收稿时间:2005-06-07
修稿时间:2005-06-22

Intelligent Optimizing Control System of Grinding Process for Particle Size Index
ZHOU Ping,DING Jin-liang,ZHAO Da-yong,CHAI Tian-you. Intelligent Optimizing Control System of Grinding Process for Particle Size Index[J]. Control Engineering of China, 2006, 13(4): 334-337
Authors:ZHOU Ping  DING Jin-liang  ZHAO Da-yong  CHAI Tian-you
Affiliation:Key laboratory of Process Industry Automation, Ministry of Education, Notheastem University,Shenyang 110004, China
Abstract:The grinding process is characterized by multivariable, non-linearity, severe coupling, large-time delay and time-variability, and the particle size, the technical index, is difficult to control directly with general control methods. An intelligent optimizing control system of this complex process for particle size index is proposed by combining the basic control with intelligent control and soft-sensor technique. This system consist of a basic control system, a monitor and control system and an intelligent optimizing-setting system, and has the functions of equipment logical control, loop control, process monitor and control and intelligent optimizing control. It is successfully applied to a large mineral processing plant with proven great effectiveness and future prospect.
Keywords:grinding process   grinding particle size   intelligent optimization control
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