Using the Capabilities of Neural Networks to Adapt the Parameters of PID Regulation in Automatic Control Systems of Low-Power Boilers

Abstract

In a study, a control scheme with adaptation of the PID controller coefficients based on a neural network (neural network optimizer) was implemented. The neural network optimizer was used as a add-on the PID controller in the control circuit for the blast of a solid fuel boiler with a periodic injection of fuel. As a result of the experiment, it was found that the use of a neural network optimizer can increase the efficiency of the boiler.