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矿渣粉磨智能控制系统的研究及应用 被引量:8

Research and Application of Intelligent Control System for Slag Grinding
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摘要 立磨矿渣粉磨系统经常出现立磨振动大,磨机负荷波动频繁等故障,同时立磨系统又是一个多变量、强耦合、非线性系统。针对以上问题,采用专家系统和模糊控制设计了立磨优化控制方案,利用现场实际数据辨识出立磨系统近似数学模型,并以此通过仿真实验验证了立磨优化控制算法。通过加入阈值和限幅控制将优化控制算法应用于现场实际控制中,结果表明立磨优化控制比人工手动控制的料层厚度波动范围和磨机振动值小,立磨没有出现异常振动停机。 Large mill vibration and frequent load fluctuation often occur in vertical mill slag grinding productions presently. At the same time, the vertical mill slag grinding system is a multi-variable, strong coupling, and time-varying nonlinear system. In allusion to the problem above, the optimization control module for the vertical mill is designed by employing the expert rules and fuzzy control. We es- tablish the approximate input-output transfer function by distilling the field data, and validate the vertical mill optimization control mod- ule by simulation. The optimize control algorithms which have been proved validated are applied in the practical control, and limit con- trol as well as threshold control are added. The effect of practical control proves that, compared with manual control, the optimize con- trol algorithms can reduce the fluctuation range of the material layer and the vibration of slag vertical mill, at the same time no unusual vihratlnn ~hlltclawn n^llr~.
出处 《控制工程》 CSCD 北大核心 2012年第2期240-244,248,共6页 Control Engineering of China
基金 国家高技术研究发展计划(863)基金资助项目(2006AA04Z185) 山东省自然科学基金资助项目(2009GG10004002)
关键词 矿渣粉磨 专家系统 模糊控制 料层厚度 磨机振动 slag grinding expert system fuzzy control material layer thickness mill vibration
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