Abstract

A reagent dosage hybrid control strategy for the antimony flotation process is proposed in this work. This strategy consists of two parts: reagent dosage tracking control based on a froth size probability density function (PDF) and reagent dosage compensation control based on a distributed-machine vision predictive model. The proposed method was tested on a gold-antimony flotation process, and it improved tailings qualification rate, and reduced the tailings standard deviation. This method also efficiently accounts for the influence of disturbances on the flotation system and improves the stability and effectiveness of the flotation system.

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