Abstract
This paper presents results in the development of a dynamic model for estimating particle size proportion, suitable for grinding plant control. In order to obtain a good performance in ore concentrating plants, it is important to control the particle size proportion delivered by the grinding plant to the flotation plant. Particle size measurement instruments (PSM) designed for this purpose require frequent maintenance and thus are not always available, according to plant experience. Up to now, the static particle size estimators which can be found in the technical literature, serving mainly for long term average particle size estimation, are not suitable for replacing the PSM for control purposesThe dynamic estimator presented in this paper may replace the PSM during the periods when it is not available. The estimator may also serve for reducing the working period of the PSM by using it only as a calibrator. Besides, in this way a single PSM instrument might be shared by several grinding circuits . The estimator parameters are fitted online using the PSM measurement, and are retained at their last values when the PSM signal is no longer available. Examples are given of the proposed estimator performance with actual plant operation data
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