About intellectual adaptation of PID-regulation in control systems of boilers of small power

Gordin Sergey Aleksandrovich, Zaychenko Ilya Vladimirovich

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

Keywords:neural network, PID controller, neural network optimizer, nonlinear systems, methods for increasing the efficiency of solid fuel boilers