Thickener operations at Carajas using a fuzzy logic controller

Santos, Rodrigo Ribeiro; Meech, J.A.; Ramos, Leo

doi:10.1109/icsmc.1995.538007

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Fuzzy Logic1

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“…Fuzzy logic systems are information-processing systems based on fuzzy sets and fuzzy logic (Zadeh 1989). Fuzzy logic is a potential control technique for mineral processing (Cipriano and Ramos 1994;Hall and Harris 1993;Harris and Meech 1987;Ketata 1998;Santos et al 1995).…”

Section: Fuzzy Logicmentioning

confidence: 99%

Intelligent Control System for Stream Sampling

Ketata

Rockwell

2008

Mineral Processing and Extractive Metallurgy Review

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This article introduces an intelligent sampling controller to assist the actions taken by a plant operator to correct sampling conditions. This hybrid system includes a sampling error filter (SEF), a sampling performance indexer (SPI), a sampling correctness inspector (SCI), and a sampling error evaluator (SEE). First, the SEF upgrades the measured variables in a mineral-processing system by material balance. Then, the SPI employs fuzzy logic to assess the sampling performance. In addition, the expert system SCI checks the correctness of the sampling process. Finally, the sampling error is computed by the expert system SEE.

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