Abstract
The objective of process control in the mineral industry is to optimise the recovery of the valuable minerals, while maintaining the quality of the concentrates delivered to the metal extraction plants. The paper presents a survey of the control approaches for ore size reduction and mineral separation processes. The present limitations of the measurement instrumentation are discussed, as well as the methods to upgrade the information delivered by the sensors. In practice, the overall economic optimisation goal must be hierarchically decomposed into simpler control problems. Model-based and AI methods are reviewed, mainly for grinding and flotation processes, and classified as mature, active or emerging.
Original language | English |
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Pages (from-to) | 995-1005 |
Number of pages | 11 |
Journal | Control Engineering Practice |
Volume | 9 |
Issue number | 9 |
DOIs | |
Publication status | Published - 1 Jan 2001 |
MoE publication type | A2 Review article, Literature review, Systematic review |
Keywords
- Data processing
- Mineral Processing
- Optimisation
- Process control