Dynamic Modeling of the Main Steam Temperature Based on Adaptive Neuro-Fuzzy Inference System

This paper the dynamic model of multi-input and single-output is established, which takes the coal feed and water feed as the inputs and the main steam temperature as the output. Adaptive Network-based Fuzzy Inference System (ANFIS) is used to establish the system model, and using the field data on the identification and checking of model. The results show that the output of identification is consistent with actual output by using of the field data to verify the accuracy of model further.