On a Method of Controlling Heater by Using Neural Networks

The possibility of using a long short-term memory (LSTM) neural network has been studied to simulate the operation of a PID controller. A programmable PID controller has been realized to control a heater with a temperature sensor on the basis of an Arduino microcontroller. A LSTM model trained on the controller data has been developed. It is shown that the neural network model accurately reproduces the operation of the controller and can completely replace it under the condition of a much greater but sufficient data processing time. The applicability of this model as a detector of abnormal operation of the PID controller is shown.