Soft sensing system for coal storage in ball mill based on fuzzy modeling

In this paper, a new on-line measurement approach for coal storage in ball mill is presented. In the approach, Fuzzy modeling is adopted to construct the measurement model for coal storage in ball mill. During the modeling, T-S fuzzy model is employed to approximate the non-linearity of coal storage in ball mill. Coal supply, sirocco flux, recycles wind flux, export temperature and pressure difference are selected as the measure variable. Subtractive-clustering algorithm is used to determine the optimum number of clusters; this made the fuzzy model simple and accurate. Based on it, an instrument based on PC104 is developed and the test in laboratory is conducted. The test result shows that the measure error is lower and acceptable. It lays a foundation for the optimal control of coal storage in ball mill.