期刊文献+

铝电解模糊专家控制器的开发与应用 被引量:5

THE DEVELOPMENT AND APPLICATION OF FUZZY EXPERT CONTROLLER FOR ALUMINUM ELECTROLYSIS
下载PDF
导出
摘要 介绍了最新开发的铝电解模糊专家控制器的规则库、论域自调整机制以及推理机的构造.采用了基于“近似推理”原理的模糊专家系统的推理技术构造推理机,使其具有同时处理精确知识和模糊知识的优点,并且建立了“论域自调整”机制,使控制器可根据槽况的变化和控制模式的切换,自动调整输入模糊变量和/或输出模糊变量所对应的精确值的论域,从而简便而有效地达到在线自动调整控制器的工作点和动、静态品质的目的.应用结果表明,改进的效果显著. The rule base, the inference engine and the mechanism of the self regulation of universe of discourse in the late developed fuzzy expert controller for aluminum reduction cells were elaborated. The inference engine based on approximate reasoning, a kind of inference method of fuzzy expert system, has the advantage of not only processing knowledge of certain or precise type, but also that of uncertain or fuzzy type. The mechanism of the self regulation of universe of discourse can automatically adjust its input fuzzy variables and/or those of output fuzzy variables according to the change of cell state and the transition of control modes, achieving the object of on line modifying the operating points and the dynamic and static performance of the controller efficiently and conveniently. The results of application showed that the control effect was conspicuous.
出处 《中南工业大学学报》 CSCD 北大核心 1999年第6期558-561,共4页 Journal of Central South University of Technology(Natural Science)
基金 国家技术创新工程项目
关键词 铝电解 过程控制 模糊专家控制 控制器 aluminum aluminum electrolysis process control fuzzy expert control
  • 相关文献

参考文献8

  • 1姚广春,张晓明,司仑纪,周礼,孟庆利.铝电解槽炭阴极石墨化影响因素[J].中国有色金属学报,1998,8(3):515-518. 被引量:6
  • 2肖劲,张泰山,刘业翔,丁凤琪,吴智明,边友康,刘钢.铝电解槽点式下料的专家模糊控制方法[J].中南工业大学学报,1998,29(1):32-35. 被引量:8
  • 3李--,中国有色金属学报,1998年,8卷,3期,557页
  • 4李--,中南工业大学学报,1998年,29卷,1期,32页
  • 5Li Jie,轻金属,1997年,463页
  • 6Li Jie,Trans Nonferrous Met Soc China,1994年,4卷,1期,26页
  • 7Li Jie,轻金属,1994年,441页
  • 8黄永忠,铝电解生产,1994年

二级参考文献5

  • 1诸静,模糊控制原理与应用,1985年,506页
  • 2姚广春,冶金炭素材料性能及生产工艺,1992年,212页
  • 3邱竹贤,预焙槽炼铝,1988年,473页
  • 4邱竹贤,铝电解中界面现象及界面反应,1986年,187页
  • 5姚广春,东北工学院学报,1985年,2期,53页

共引文献11

同被引文献16

  • 1李劼,刘业翔,黄永忠,王化章.铝电解过程控制信号的滤波与噪声解析模型的研究[J].中南矿冶学院学报,1993,24(3):318-325. 被引量:4
  • 2邱竹贤.工业铝电解质分子比的演变与现状[J].中国有色金属学报,1996,6(4):13-18. 被引量:13
  • 3Venkatasubramanian V, Rengaswamy R, et al. A review of process fault detection and diagnosis[J]. Computers and Chemical Engineering, 2003,27(3):293-346.
  • 4Tarifa E E,Scenna N J. A methodology for fault diagnosis in large chemical process and an application to a multistage flash desalination process[J]. Reliability Engineering and System Safety, 1998,60(1) :29-51.
  • 5Maurya M R, Rengaswamy R, Venkatasubramanian V, A systematic framework for the development and analysis of signed digraphs for chemical process[J]. Ind Eng Chem Res,2003,42(20) : 4789-4827.
  • 6BONNY P, GERPHAGNON J L, LABOURE G, et al. Process and Apparatus for Accurately Controlling the Rate of Introduction and the Content of Alumina in an Igneous Electrolysis Tank in the Production of Aluminium [P]. US4431491, 1984 -02 - 14.
  • 7MOEN T, AALBU A, BORG P. Adaptive Control of Alumina Reduction Cells with Point feeders [A]. BOHNER H O. Light Metals 1985 [C]. Warrendale: TMS, 1985: 458- 469.
  • 8MEGHLAOUI A, BUI P T, THIBAULT J, et al. Intelligent Control of Feeding of Aluminum Electrolytic Cells Using Neural Networks [J]. Metallurgical and Materials Transactions B,1997,28B(4): 215 - 221.
  • 9LI Jie, HUANG Yong-zhong, WANG Hua-zhang, et al. An Estimation Model of Alumina Concentration for Point-feeding Aluminium Reduction Cells [A]. MANNWEILER U. Light Metals 1994 [C]. Warrendale: TMS, 1994: 441-447.
  • 10LI Jie, XIAO Jin, LIU Ye-xiang, et al. Hierarchical Intelligent Control System for Aluminum Reduction Cells [A]. HUGLEN R.Light Metals 1997 [C]. Warrendale: TMS, 1997: 463- 467.

引证文献5

二级引证文献34

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部