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重介质选煤过程中重介质密度的控制 被引量:2

Control of Density of Dense Medium in the Process of Dense Medium Coal Preparation
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摘要 重介质选煤工艺是煤炭分选中一种常用的选煤方式,悬浮液中重介质密度的变化直接影响对煤炭的分选效率和精煤产品的品质。分析了一种不依赖于控制模型的MFAC理论,对选煤过程中的重介质密度进行有效控制。仿真分析结果表明该控制方案具有算法响应速度快、可靠性好的优点,极大地提升了选煤企业的煤炭分选效率和精煤品质,具有极大的应用推广价值。 Dense medium coal preparation process is a common coal preparation method in coal separation.The change of dense medium density in suspension directly affects the separation efficiency of coal and the quality of clean coal products.This paper analyzed an MFAC control theory independent of the control model to effectively control the density of dense media in the coal preparation process.The results of simulated analysis show that the control scheme has the advantages of fast algorithm response and good reliability,which greatly improves the coal separation efficiency and the quality of clean coal in coal preparation enter-prises,and has great application and popularization value.
作者 侯鹏辉 HOU Penghui(Shuguang Coal Mine,Shanxi Fenxi Mining Industry Group Co.,Ltd.,Xiaoyi 032300,Shanxi,China)
出处 《能源与节能》 2019年第7期23-24,共2页 Energy and Energy Conservation
关键词 重介质选煤 密度 MFAC dense medium coal preparation density MFAC
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  • 1孟凡芹,王耀才,姜建国,王军威.重介工艺悬浮液密度和液位的多变量模糊控制方法研究[J].中国矿业大学学报,2005,34(2):252-255. 被引量:35
  • 2王海,李艳娟,巩亚东,王宛山.基于PLC的Fuzzy-PID分选密度控制研究[J].控制工程,2006,13(5):474-477. 被引量:11
  • 3刘元祥.选煤厂干扰床分选监控系统的设计研究[D].徐州:中国矿业大学,2008(11).
  • 4J. H. Kim, S. J. Oh. A fuzzy PID controller for nonlinear and uncertain systems. Soft Computing, 2000(4).
  • 5Lembessis E, Tanscheit R. The influence of implication operators and defuzzification methods on the deteministics output of a fuzzy rule-based controller[A]. Lowen R, Roubens M. Proceedings of Ⅳ IFSA World Congress, Vol. engineering [C]. Brussels:International Fuzzy Systems Assocition, 1991:109-114.
  • 6Mendel J M. Fuzzy logic systems for engineering: a tutorial[J]. Proceedings of IEEE, 1995,83 (3) : 345-377.
  • 7Yager R R. On the construction of hierarchical fuzzy systems models[J]. IEEE Transactions: systems mancybernetics, 1998,28 ( 1 ) : 55-56.
  • 8Tanscheit R, Lembessis E. On the behaviors and tuning of a fuzzy rule-based self-organizing controller[A]. Borne P, Tzafestas S G. Radhy N E.Mathematics of the Analysis and design of process control [ C ]. Holland Amsterdam : Elsevier Science Publishers, 1992: 603-612.
  • 9Cao S G, Rees N W, Feng G. Analysis and design for class of comples control system [J], Automatica,1997,33(6) : 1017-1028.
  • 10Wang L X. Analysis and design of hierarchical fuzzy systems[J]. IEEE Transactions on Fuzzy Systems,1999,7:617-624.

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