Fuzzy Optimal Control for Operation of the Raw Slurry Blending Process

In the raw slurry blending process, red mud, alkali powder, blending ore and limestone are translated into ball mills to produce the raw slurry whose quality indices include calcium ratio, alkali ratio and water content. The optimal control objective is to make the quality indices of raw slurry into their targeted ranges. However, due to the dynamics between the quality indices and the flow-rate of feedstock with complex natures, such as the difficulty of description by the accuracy model, it is difficult to realize this control objective by the existing operation control methods. A novel operation control method based-on fuzzy rules reasoning, which can control the quality indices of the raw slurry into their targeted ranges, is proposed. Meanwhile, in the operation control, fuzzy rules are automatically extracted from the blending process data. At last, industry experiments are implemented to prove the effectiveness of the proposed method.