Abstract

Fine coal cleaning by froth flotation has become common practice in the US with more than 73 kt/d (80,000 stpd) treated in this way. In spite of this large tonnage, developments in the automated control of coal flotation circuits have lagged significantly behind those for mineral systems. The primary reason is that instruments have not been available for the online measurement of carbon ash content or other critical variables in coal slurries. A second reason is that the influence operating variables have on coal flotation are not completely understood. During the last few years, some of the needed instrumentation has been developed, while an improved knowledge of the flotation process itself has occurred through mathematical modeling. As a result, certain control strategies for coal flotation are beginning to emerge. This paper attempts to evaluate several control strategies using a detailed flotation dynamic simulator, Dynafloat. After construction of a process matrix for the system of interest, promising alternatives for linking manipulated and controlled variables were analyzed. To develop combined grade and recovery control strategies, it was necessary to construct a grade/recovery map with the aid of the simulator to drive the system to known, final, feasible grade/recovery operating conditions. Finally, an advanced strategy that uses an on-line model to identify disturbances and take control actions is proposed.

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