Controller tunning for flow-through heater using artificial intelligence based on digital twin with recurrent neural networks

The presented research results are related to the modelling and simulation of technological processes using recurrent neural networks (RNN). This paper presents the application of such modelling technique for a flow-through heater. The structure of the RNN was presented and the correctness of the obtained modelling results was verified. The application of such a model for the classical PI algorithm controller tuning was presented. The results were compared with the popular PI algorithm tuning rule (Chien-Hrones-Reswick). The advantage of the proposed approach to tuning controllers over traditional methods was pointed out.