On estimating the efficiency of a neural optimizer for the parameters of a PID controller for heating objects control

In this work, we consider the problems of estimating the energy efficiency of applying a neural optimizer to tune a PID controller in controlling a laboratory heating furnace for cast bars. We estimate the electric power savings achieved when running the technological process with the optimizer as compared to a regular PID controller.