The DC-ANFIS Control of The Steady Flow Weighing Bin Weight

In cement pre-grinding systems, Roller Presses have an important impact on the proper operation of subsequent stages. In this paper, expert experience is learned through Dual Clustering Adaptive Network Fuzzy Inference System (DC-ANFIS) to design the steady flow weighing bin controller. First, K-means is used to generate the target values of the steady flow weighing bin, and then the fuzzy clustering method (SCM) is used to generate the fuzzy rules. Finally, a fuzzy neural network (FNN) is used to build the controller. Through simulation, it is demonstrated that the DC-ANFIS controller for steady flow weighing bin weight control can work well.