Research of the influence of feedback signals in the neuroregulator on the quality of regulation

Abstract

Abstract This paper describes the research of the influence of feedback signals in the neuroregulator on the quality of regulation. The approach to creation of a method of development of automatic control systems using artificial neural networks as a regulator with consideration of real technical equipment of automation is described. The effectiveness of feedback in a neural regulator is analysed by carrying out a complex study in relation to the variation of the object’s parameters. For a clear comparison, the transients for each object configuration have been summarised in common graphs. In addition, in order to analyse the effectiveness of the selected configuration, a modular quality index was calculated for each case and these values are tabulated in a common table.