Simulative research of ANFIS applied in coagulant dosing feedforward controller
ANFIS在混凝投药前馈控制器中应用的仿真研究

In the water treatment process, the key of applied quality of coagulant dosing feed forward controller lies in whether the controller has a good ability to model identification for coagulant dosing process. But the results of all traditional coagulant control schemes are not satisfying. There are some serious questions of chemicals wastage, and the turbidity of output water of sediment pool fluctuates quickly. In order to solve the problem, neural network control (NNC) and fuzzy control of IC, adaptive network based fuzzy inference system (ANFIS)were introduced. It had a good ability of non linear function approximation. In the design of ANFIS scheme, the data of sample was classified by subtractive cluster method, and some fuzzy membership functions and rules were obtained, finally a initial ANFIS structure was established. ANFIS control model were simulated and tested by using jar test historical data, and compared with the simulation of the traditional regression model. The results of comparison suggested that ANFIS feed forward control model was distinct superior to regression model. According to the quality of raw water, it could predict coagulant dosage effectively in time.