Auto tuning block of the PID controller of energy facilities

Abstract

A neural network block for auto-tuning the PID controller for energy facilities has been implemented. Special attention is paid to the analysis of the comparison of a single-circuit system with a PID controller and a single-circuit system with a neural network auto-tuning unit and a PID controller. The results obtained allow us to conclude that in the process of changing the parameters of an object, a significant superiority is illustrated by the use of a neural network auto-tuning unit.