Methodology of developing of neural network models of technical object control regulators

Abstract

Methodology of developing of neural network models of technical object control regulators

Emaletdinova L.U., Kabirova A.N., Katasev A.S.

Incoming article date: 02.05.2023

The article describes a technique of developing neural network models of controllers for controlling a technical object, approximating the relationship between the control action and the deviation of the state of the object from the setting action, its speed and acceleration. The application of a technique for controlling the temperature of a water bath water heater is considered. The technical object is described by a second-order differential equation and has a smooth monotonic behavior.

Keywords: technical object, water bath, water heater, neural regulator, control, object behavior, model, neural network, training set, perceptron