Effect of speed and accuracy of on-line elemental analysis on flotation control performance

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In this paper the control performance of the flotation process is evaluated as a function of the measurement accuracy and sampling frequency of an on-stream analyzer. First, the performance of rule-based control and model predictive control (MPC) strategies is studied using discrete flotation models and the respective performance indices. Next, the net smelter return (NSR) is calculated for varying sampling rate and accuracy combinations using the PI controllers-based control strategy, mechanistic flotation models and the industrial process data as input. The control and economical performance of the process declines strongly when the sampling cycle is increased. The results also indicate that the speed of on-line analysis has a significant effect on the production economics, calculated as the average net smelter return.


Original languageEnglish
Pages (from-to)1055-1066
JournalMinerals Engineering
Issue number11
Publication statusPublished - 2007
MoE publication typeA1 Journal article-refereed

    Research areas

  • Flotation, on-stream analysis, economical optimization, control performance, sampling frequency, measurement accuracy, MPC

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