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Industrial Boiler Modeling and Control Based on Adaptive Neuro Fuzzy Inference System and Implementation in S 7400 H PLC

In this paper, a data driven method is employed to model a boiler. The method uses ANFIS as a fuzzy system which its parameters calculated by a neural network training algorithm. The main advantage of ANFIS is that it doesn’t need complicated tuning of fuzzy system parameters and it just needs a good training dataset. Training dataset is obtained from a simulated mathematical model. However, this structure still needs PID and a good tuning of that because of the required good dataset. The proposed ANFIS shows good responses and mimic the boiler plant in acceptable manner. Furthermore, another ANFIS is designed to do a control job in boiler as a PID and it shows even better responses than a normal PID controller in some ranges. In addition, designed ANFIS is implemented in a S7 PLC to show the practical value of the method and it can be employed in industrial plant for further development and researches.