期刊文献+

实现粒度指标的磨矿过程智能优化控制系统 被引量:6

Intelligent Optimizing Control System of Grinding Process for Particle Size Index
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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。 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.
出处 《控制工程》 CSCD 2006年第4期334-337,共4页 Control Engineering of China
基金 国家自然科学基金重点资助项目(60534010) 教育部及辽宁省流程工业综合自动化重点实验室资助项目
关键词 磨矿过程 磨矿粒度 智能优化控制 grinding process grinding particle size intelligent optimization control
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参考文献7

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