Fuzzy Control of Micum Strength for Iron Ore Sinter

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概要

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• The proper performance of sinter plants is vital for efficient and uniformly blast furnace operations. For smooth sinter plants operation, changes to the operating conditions should be few and precise. This paper explains advisory platforms that supply control strategies and sinter quality estimations to the plant operators, developing mathematical model, which are able to advise them about the necessary decisions to improve sinter quality. These models, based on Fuzzy Logic sets, have been developed to supply control strategies and sinter quality estimations to the plant operators at a Spanish factory.

• 社団法人 日本鉄鋼協会の論文
• 2006-05-15

著者

• Mochon Javier

  Centro Nacional De Investigaciones Metalugicas C/gregorio Del Amo

• Mochon Javier

  Centro Nacional De Investigaciones Metalurgicas (csic/cenim)

• Cores Alesandro

  Centro Nacional De Investigaciones Metalurgicas (cenim)

• BAREA Rafael

  Centro Nacional de Investigaciones Metalurgicas (CENIM)

• MARTIN D.

  Centro Nacional de Investigaciones Metalurgicas (CENIM)

関連論文

• A New "User-friendly" Blast Furnace Advisory Control System Using a Neural Network Temperature Profile Classifier
• Blast Furnace Hot Metal Temperature Prediction through Neural Networks-Based Models
• Mathematical Model of Gas Flow Distribution in a Scale Model of a Blast Furnace Shaft
• Burden Distribution Analysis by Digital Image Processing in a Scale Model of a Blast Furnace Shaft
• Results of the Application of the Mdn in the Improvement of the Design of an Electrical Furnace that produces Low Carbon Ferromanganese
• The Influence of Different Iron Ores Mixtures Composition on the Quality of Sinter
• Fuzzy Control of Micum Strength for Iron Ore Sinter

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