Research on Forecasting and Fuzzy Control of Sintering Endpoint Based on Volume Model

An adaptive fuzzy controller based on volume model for sintering end point position was designed based on the actual situation of 5# sintering machine in Meishan Iron and Steel Company of Baowu Group. Firstly, the least squares method was used to fit the exhaust temperature of the bellows on both sides of the sintering machine, and the volume prediction model of the sintering end point was established. The sintering end point position was determined by calculating the volume between the two curve vertices and the preset points. Secondly, an adaptive fuzzy controller was designed to realize self- adjustment of fuzzy rules by introducing weighting factors, which was verified by simulation in Matlab. The results show that the volume prediction model of iron-making sintering end point is more accurate than that of the traditional model; compared with the traditional PID controller, the self-adaptive fuzzy controller based on volume prediction model not only performs better in speed and overshoot, but also has stronger robustness.